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Author*The author of this computation has been verified*
R Software Modulerwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationMon, 08 Dec 2014 11:43:16 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Dec/08/t1418039206bwb54riz8rv5am7.htm/, Retrieved Sun, 19 May 2024 12:41:43 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=263943, Retrieved Sun, 19 May 2024 12:41:43 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact118
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Kendall tau Correlation Matrix] [pearson correlati...] [2014-12-08 11:43:16] [d71ad52285d92a63edfc83f9fb1da7a1] [Current]
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Dataseries X:
1 1974 122788 76 646 146 34 20 39387 6547 41552 48 23 12
1 2084 220223 41 785 162 95 34 117885 32898 161130 50 16 45
4 2473 252275 96 757 98 96 54 269474 24200 132098 150 33 37
4 3036 248600 149 916 109 122 51 181469 24191 134831 154 32 37
3 5262 522089 171 1626 119 162 33 579840 91688 389000 109 37 108
2 1389 84296 63 415 42 38 27 129033 14547 35300 68 14 10
4 5973 431397 164 1790 225 175 64 350119 75809 245551 194 52 68
4 5687 530587 300 1847 211 89 53 305832 52008 259654 158 75 72
4 7124 775158 232 2810 851 142 43 587898 114114 515966 159 72 143
2 1067 84748 51 332 49 42 22 65542 8013 30892 67 15 9
4 3498 300801 87 1189 126 135 49 246246 45389 197962 147 29 55
1 1329 107476 49 356 62 29 39 190853 11305 62058 39 13 17
3 3077 277604 139 1014 150 121 44 112741 26485 133450 100 40 37
3 1802 164892 82 567 85 86 46 134396 32326 97018 111 19 27
4 2098 217926 69 602 111 79 44 173767 26305 131747 138 24 37
3 9459 641548 263 4318 319 161 45 309278 23451 207142 101 121 58
4 6635 575130 185 2504 128 129 39 294177 88375 239204 131 93 66
3 2145 205486 96 663 162 66 45 106841 21554 76146 101 36 21
3 2047 152589 131 540 121 55 44 211113 15268 68752 114 23 19
4 7429 586263 271 3035 339 149 51 196576 55035 279445 165 85 78
3 3258 271763 75 1010 237 115 47 124378 25705 124913 114 41 35
3 3433 339667 232 1131 174 92 43 209184 34919 172751 111 46 48
2 1960 162822 61 621 84 60 41 126803 31379 97195 75 18 27
2 2180 281190 100 679 139 76 44 187285 50495 154011 82 35 43
3 2541 167894 100 709 88 110 47 168757 33972 107304 121 17 30
1 1390 103963 46 339 68 63 48 251288 15063 91054 32 4 25
4 3782 349511 85 1261 235 148 55 250817 58281 248240 150 28 69
3 4302 417211 146 1422 377 127 44 273572 62183 258643 117 44 72
2 1342 116672 45 414 49 50 29 113402 34952 81230 71 10 23
4 2086 181697 71 755 99 24 53 405844 11925 45841 165 38 13
4 4055 425816 109 1263 105 112 47 294551 39570 219081 154 57 61
4 2247 236957 100 700 82 115 50 163431 43469 154379 126 23 43
4 1653 172023 62 579 87 82 41 143271 19555 79885 138 26 22
4 2694 310697 67 883 136 174 46 166199 39753 182188 149 36 51
4 2747 321055 118 1014 81 103 50 189077 57585 241556 145 22 67
3 2571 274870 101 897 144 77 46 262117 30661 130350 120 40 36
4 1348 140595 60 408 69 39 53 98972 17766 75147 138 18 21
3 2486 269876 106 888 90 100 40 157153 24850 157599 109 31 44
4 1899 204783 61 677 75 79 43 382879 51478 163468 132 11 45
4 3420 257548 159 1057 162 102 50 223609 39337 121029 172 38 34
4 3927 216809 161 1260 170 128 46 154482 34393 129590 169 24 36
3 4698 390873 228 1331 135 95 46 213273 32642 258491 114 37 72
4 3123 273932 98 956 201 114 43 294086 56632 141409 156 37 39
4 3147 232910 88 1021 123 97 47 211291 54266 153451 172 22 43
2 1613 143824 74 362 83 87 35 150784 21362 90025 68 15 25
2 1938 208855 89 512 66 129 26 208952 59433 202038 89 2 56
4 3586 442975 165 1177 119 142 45 213631 73670 287250 167 43 80
3 2669 255597 78 997 90 91 45 137045 36584 144829 113 31 40
3 3997 366334 183 1069 71 168 33 209699 60090 261355 115 29 73
2 3740 286294 175 1077 155 88 29 100957 26024 124004 78 45 34
3 4528 350044 171 1530 203 69 26 182217 44114 260560 118 25 72
2 1957 164314 70 558 75 55 24 371628 59244 149783 87 4 42
4 2837 333116 118 833 180 103 55 364870 39635 220376 173 31 61
1 820 70154 49 295 18 27 6 314895 16365 83899 2 -4 23
4 6590 505048 440 1971 235 149 39 223995 67320 266232 162 66 74
1 8623 279292 197 554 145 40 26 121504 9881 58550 49 61 16
4 2709 352129 78 873 148 99 32 157799 37807 237497 122 32 66
3 1710 144191 68 511 73 73 27 144099 3665 31145 96 31 9
3 3624 288411 92 1160 168 102 32 176684 56096 147100 100 39 41
2 3048 272522 156 896 170 82 29 195048 52634 203616 82 19 57
3 2199 284231 101 575 60 117 27 197955 58907 173678 100 31 48
3 3122 311762 198 1187 94 88 26 234770 51846 183499 115 36 51
4 3570 342350 109 1110 181 85 32 106561 47634 189678 141 42 53
4 4107 177034 84 1381 189 135 45 186506 20668 102760 165 21 29
4 4107 177034 84 1381 189 135 45 186506 20668 102760 165 21 29
3 3256 289214 215 872 174 90 34 233898 52996 199646 110 25 55
3 2668 309277 80 917 104 70 43 186678 33526 195675 118 32 54
4 2408 246966 124 907 85 118 52 234270 61485 154433 158 26 43
4 2501 284308 128 801 99 56 40 164487 29774 183468 146 28 51
1 2237 187677 85 589 85 20 50 133887 8004 73356 49 32 20
2 3176 432628 123 1161 70 122 32 319263 62822 284921 90 41 79
3 3112 246861 55 959 417 95 30 112648 36484 141881 121 29 39
4 3903 337931 156 1233 113 150 52 252873 46802 219455 155 33 61
3 3130 260080 167 994 137 59 26 317723 51818 199761 104 17 55
4 1657 154768 64 511 70 39 37 351163 24158 107937 147 13 30
3 3036 314379 156 1075 93 62 26 219884 47273 198131 110 32 55
3 2164 186002 140 511 111 97 27 213190 24399 79074 108 30 22
3 2406 255530 126 732 85 64 26 176259 29500 132355 113 34 37
3 2460 219180 147 771 202 22 28 14617 1157 6001 115 59 2
1 2773 182739 58 812 148 79 31 221545 36018 136195 61 13 38
1 2168 180278 78 817 103 83 23 79968 17325 96892 60 23 27
3 2156 240123 77 674 99 64 27 135853 37528 202664 109 10 56
2 944 109044 50 275 63 26 23 122997 29555 90502 68 5 25
3 3036 251742 108 908 163 63 29 671521 33853 139144 111 31 39
2 2833 187742 97 1014 113 85 29 103614 33374 118178 77 19 33
2 2559 270639 72 918 84 80 29 165645 52141 156525 73 32 43
4 3862 314020 95 1567 81 129 46 228973 35699 204269 151 30 57
2 3130 246900 105 1079 144 78 27 250865 42271 156385 89 25 43
2 2247 259062 101 806 94 45 26 115925 15568 84550 78 48 23
3 3154 282775 105 1027 131 93 27 235490 36164 157596 110 35 44
4 5517 435991 195 1901 103 143 59 299416 46803 193777 220 67 54
2 1824 154022 71 487 83 85 28 100377 14142 99140 65 15 28
4 1922 209685 82 674 114 81 43 125665 27130 128859 141 22 36
3 2205 205255 117 638 77 105 32 214554 44131 141059 117 18 39
4 1881 178265 67 519 131 52 56 141992 17122 58298 122 33 16
2 2920 248450 86 1015 55 92 27 106485 14779 81419 63 46 23
1 2333 229320 94 851 94 95 46 188514 32640 143506 44 24 40
1 1819 135198 53 564 58 53 27 119858 16870 85619 52 14 24
1 1784 189190 58 609 57 53 23 157570 30710 105720 62 23 29
4 2886 322752 105 987 136 81 32 275431 63319 280118 131 12 78
3 4443 343956 120 1880 62 102 27 222475 73112 206374 101 38 57
1 1446 176243 42 494 42 26 13 66856 30832 133902 42 12 37
4 2679 200373 112 800 141 78 47 151623 18013 98344 152 28 27
3 4600 366805 118 1730 126 97 47 150993 42611 219756 107 41 61
2 1875 142330 101 518 47 85 26 206256 31887 97809 77 12 27
4 3793 360464 165 1109 177 148 42 213064 63301 248486 154 31 69
3 2683 242381 95 911 110 41 47 146308 23245 122288 103 33 34
3 3496 281597 121 1247 179 75 27 185674 32055 157827 96 34 44
4 2598 223788 87 855 66 66 49 92083 20807 76075 154 41 21
4 2700 199650 123 826 86 109 51 162946 37105 122936 175 21 34
1 2327 210891 59 892 58 45 26 81071 33683 139825 57 20 39
3 3888 343904 127 1228 128 110 29 208445 47650 184290 112 44 51
4 3607 309815 90 1130 99 141 49 266081 32828 121861 143 52 34
1 1351 137236 68 385 48 67 24 92270 21788 112971 49 7 31
3 1927 153390 44 563 177 81 34 85579 10604 47878 110 29 13
4 1339 82255 85 385 66 39 44 278668 10444 43434 131 11 12
4 2235 278265 93 711 78 112 53 226475 51413 183201 167 26 51
1 1850 172064 101 636 47 47 26 454812 17272 87092 56 24 24
4 1607 93154 51 507 94 48 50 265388 21095 67307 137 7 19
2 4350 326462 146 1306 229 86 26 103947 16249 109460 86 60 30
3 3233 338105 108 1131 82 129 44 263573 63283 291873 121 13 81
4 2081 224385 52 719 115 122 41 236934 35183 151021 149 20 42
4 2700 265772 90 943 220 88 45 289054 15127 77435 168 52 22
4 4146 409332 106 1431 212 155 44 306764 65486 307522 140 28 85
2 1507 188407 59 470 67 67 28 111110 30434 97283 88 25 27
4 2168 229350 63 647 131 123 54 181757 17780 88556 168 39 25
2 1420 112000 38 402 77 56 54 73853 15200 79453 94 9 22
1 1581 136760 51 501 64 59 32 80424 22056 69136 51 19 19
1 1187 96105 53 331 38 38 23 184484 10999 48838 48 13 14
4 3985 378514 124 1270 441 68 45 545244 25342 161894 145 60 45
2 2172 231662 82 546 133 86 42 177012 36217 162758 66 19 45
2 2493 222959 101 711 96 25 28 364003 23218 100935 85 34 28
3 1975 232819 94 610 87 96 40 213058 54169 182570 109 14 51
2 1959 208477 59 560 53 77 31 298819 20636 148750 63 17 41
3 2620 273205 150 864 104 28 28 122119 26517 110836 102 45 31
4 6590 505048 440 1971 235 149 39 223995 67320 266232 162 66 74
4 1704 174313 91 507 135 40 44 220097 15436 86197 128 24 24
2 3355 243623 240 1114 124 74 27 93601 12735 69804 86 48 19
3 3609 288700 134 1028 271 128 29 140719 49363 183770 114 29 51
4 2187 254403 191 604 109 124 42 376744 64552 263231 164 -2 73
3 2394 272544 91 803 130 83 45 230102 11596 87507 119 51 24
4 1956 225506 124 562 101 100 43 791210 49823 219786 126 2 61
4 2316 166212 79 793 63 104 44 202751 24457 81283 132 24 23
4 1844 192335 43 570 146 59 44 163077 17842 49016 142 40 14
2 2068 266657 54 738 86 86 43 470942 40369 196162 83 20 54
2 3259 250471 67 1081 146 93 30 142638 41100 183013 94 19 51
2 2404 281982 82 754 93 98 28 173991 56119 222822 81 16 62
4 1588 201041 48 422 76 74 45 188817 42787 130332 166 20 36
3 3928 358421 156 1306 80 95 32 192116 50424 213944 110 40 59
2 2539 185187 143 859 56 30 26 56171 19234 87869 64 27 24
2 2196 186000 58 746 56 73 44 177080 7959 94692 93 25 26
3 3523 368617 180 1120 130 74 27 144147 26338 193324 104 49 54
3 2667 281639 130 858 90 44 26 195847 25615 139807 105 39 39
1 8623 279292 197 554 145 40 26 121504 9881 58550 49 61 16
2 1819 199645 82 542 84 93 27 84618 27041 129893 88 19 36
2 4477 352460 160 1828 194 46 26 137298 15407 110301 95 67 31
3 2620 273205 150 864 104 28 28 122119 26517 110836 102 45 31
3 2599 261363 104 801 154 106 28 158370 34968 152699 99 30 42
2 1673 169170 65 481 49 83 31 117217 34298 140674 63 8 39
2 2390 161602 83 934 73 53 28 123764 31721 91441 76 19 25
3 3896 298581 197 1186 194 22 28 268226 19056 111648 109 52 31
3 2372 217240 90 583 119 103 32 168218 29988 137527 117 22 38
1 1611 172437 72 457 75 64 22 118756 14395 110370 57 17 31
3 1899 178344 68 574 69 40 31 69253 20200 60864 120 33 17
2 2498 202510 157 750 68 26 32 158227 11208 79682 73 34 22
2 2999 278377 95 844 164 100 27 328854 33908 199453 91 22 55
3 3086 328714 104 928 35 122 28 214669 45592 222160 108 30 62
3 2749 273244 109 893 67 67 27 118957 23456 183430 105 25 51
3 2349 244625 93 742 160 108 42 140303 23198 108963 117 38 30
3 2555 267828 107 729 91 103 33 183142 47682 174883 119 26 49
1 1334 105343 42 451 38 67 22 39876 12636 58409 31 13 16





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net
R Framework error message
Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 4 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
R Framework error message & 
Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
\tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=263943&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]4 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[ROW][C]R Framework error message[/C][C]
Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=263943&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=263943&T=0

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net
R Framework error message
Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.







Correlations for all pairs of data series (method=pearson)
PRpageviewstime_in_rfcloginscompendium_views_infocompendium_views_prblogged_computationscompendiums_reviewedtotsizetotrevisionstotsecondsLFMPRHCH
PR10.2430.3990.270.3330.2980.4770.6440.3120.3590.3470.9390.2790.35
pageviews0.24310.8150.7450.8340.570.4770.1740.2210.4090.5220.3130.7820.522
time_in_rfc0.3990.81510.7040.8590.6160.6040.2420.3730.6710.8180.4390.7570.819
logins0.270.7450.70410.6510.4160.3470.0910.1970.3890.4820.3180.6410.482
compendium_views_info0.3330.8340.8590.65110.5920.5430.2320.2630.480.6020.3810.7660.604
compendium_views_pr0.2980.570.6160.4160.59210.3380.2090.290.3410.4540.3370.5230.455
blogged_computations0.4770.4770.6040.3470.5430.33810.4250.2590.6420.6550.5390.2750.657
compendiums_reviewed0.6440.1740.2420.0910.2320.2090.42510.2340.1620.1780.6960.2070.179
totsize0.3120.2210.3730.1970.2630.290.2590.23410.4420.4770.3110.0880.477
totrevisions0.3590.4090.6710.3890.480.3410.6420.1620.44210.8730.3890.140.873
totseconds0.3470.5220.8180.4820.6020.4540.6550.1780.4770.87310.370.2441
LFM0.9390.3130.4390.3180.3810.3370.5390.6960.3110.3890.3710.320.373
PRH0.2790.7820.7570.6410.7660.5230.2750.2070.0880.140.2440.3210.245
CH0.350.5220.8190.4820.6040.4550.6570.1790.4770.87310.3730.2451

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline & PR & pageviews & time_in_rfc & logins & compendium_views_info & compendium_views_pr & blogged_computations & compendiums_reviewed & totsize & totrevisions & totseconds & LFM & PRH & CH \tabularnewline PR & 1 & 0.243 & 0.399 & 0.27 & 0.333 & 0.298 & 0.477 & 0.644 & 0.312 & 0.359 & 0.347 & 0.939 & 0.279 & 0.35 \tabularnewline pageviews & 0.243 & 1 & 0.815 & 0.745 & 0.834 & 0.57 & 0.477 & 0.174 & 0.221 & 0.409 & 0.522 & 0.313 & 0.782 & 0.522 \tabularnewline time_in_rfc & 0.399 & 0.815 & 1 & 0.704 & 0.859 & 0.616 & 0.604 & 0.242 & 0.373 & 0.671 & 0.818 & 0.439 & 0.757 & 0.819 \tabularnewline logins & 0.27 & 0.745 & 0.704 & 1 & 0.651 & 0.416 & 0.347 & 0.091 & 0.197 & 0.389 & 0.482 & 0.318 & 0.641 & 0.482 \tabularnewline compendium_views_info & 0.333 & 0.834 & 0.859 & 0.651 & 1 & 0.592 & 0.543 & 0.232 & 0.263 & 0.48 & 0.602 & 0.381 & 0.766 & 0.604 \tabularnewline compendium_views_pr & 0.298 & 0.57 & 0.616 & 0.416 & 0.592 & 1 & 0.338 & 0.209 & 0.29 & 0.341 & 0.454 & 0.337 & 0.523 & 0.455 \tabularnewline blogged_computations & 0.477 & 0.477 & 0.604 & 0.347 & 0.543 & 0.338 & 1 & 0.425 & 0.259 & 0.642 & 0.655 & 0.539 & 0.275 & 0.657 \tabularnewline compendiums_reviewed & 0.644 & 0.174 & 0.242 & 0.091 & 0.232 & 0.209 & 0.425 & 1 & 0.234 & 0.162 & 0.178 & 0.696 & 0.207 & 0.179 \tabularnewline totsize & 0.312 & 0.221 & 0.373 & 0.197 & 0.263 & 0.29 & 0.259 & 0.234 & 1 & 0.442 & 0.477 & 0.311 & 0.088 & 0.477 \tabularnewline totrevisions & 0.359 & 0.409 & 0.671 & 0.389 & 0.48 & 0.341 & 0.642 & 0.162 & 0.442 & 1 & 0.873 & 0.389 & 0.14 & 0.873 \tabularnewline totseconds & 0.347 & 0.522 & 0.818 & 0.482 & 0.602 & 0.454 & 0.655 & 0.178 & 0.477 & 0.873 & 1 & 0.37 & 0.244 & 1 \tabularnewline LFM & 0.939 & 0.313 & 0.439 & 0.318 & 0.381 & 0.337 & 0.539 & 0.696 & 0.311 & 0.389 & 0.37 & 1 & 0.32 & 0.373 \tabularnewline PRH & 0.279 & 0.782 & 0.757 & 0.641 & 0.766 & 0.523 & 0.275 & 0.207 & 0.088 & 0.14 & 0.244 & 0.32 & 1 & 0.245 \tabularnewline CH & 0.35 & 0.522 & 0.819 & 0.482 & 0.604 & 0.455 & 0.657 & 0.179 & 0.477 & 0.873 & 1 & 0.373 & 0.245 & 1 \tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=263943&T=1

[TABLE]
[ROW]
Correlations for all pairs of data series (method=pearson)[/C][/ROW] [ROW][C] [/C][C]PR[/C][C]pageviews[/C][C]time_in_rfc[/C][C]logins[/C][C]compendium_views_info[/C][C]compendium_views_pr[/C][C]blogged_computations[/C][C]compendiums_reviewed[/C][C]totsize[/C][C]totrevisions[/C][C]totseconds[/C][C]LFM[/C][C]PRH[/C][C]CH[/C][/ROW] [ROW][C]PR[/C][C]1[/C][C]0.243[/C][C]0.399[/C][C]0.27[/C][C]0.333[/C][C]0.298[/C][C]0.477[/C][C]0.644[/C][C]0.312[/C][C]0.359[/C][C]0.347[/C][C]0.939[/C][C]0.279[/C][C]0.35[/C][/ROW] [ROW][C]pageviews[/C][C]0.243[/C][C]1[/C][C]0.815[/C][C]0.745[/C][C]0.834[/C][C]0.57[/C][C]0.477[/C][C]0.174[/C][C]0.221[/C][C]0.409[/C][C]0.522[/C][C]0.313[/C][C]0.782[/C][C]0.522[/C][/ROW] [ROW][C]time_in_rfc[/C][C]0.399[/C][C]0.815[/C][C]1[/C][C]0.704[/C][C]0.859[/C][C]0.616[/C][C]0.604[/C][C]0.242[/C][C]0.373[/C][C]0.671[/C][C]0.818[/C][C]0.439[/C][C]0.757[/C][C]0.819[/C][/ROW] [ROW][C]logins[/C][C]0.27[/C][C]0.745[/C][C]0.704[/C][C]1[/C][C]0.651[/C][C]0.416[/C][C]0.347[/C][C]0.091[/C][C]0.197[/C][C]0.389[/C][C]0.482[/C][C]0.318[/C][C]0.641[/C][C]0.482[/C][/ROW] [ROW][C]compendium_views_info[/C][C]0.333[/C][C]0.834[/C][C]0.859[/C][C]0.651[/C][C]1[/C][C]0.592[/C][C]0.543[/C][C]0.232[/C][C]0.263[/C][C]0.48[/C][C]0.602[/C][C]0.381[/C][C]0.766[/C][C]0.604[/C][/ROW] [ROW][C]compendium_views_pr[/C][C]0.298[/C][C]0.57[/C][C]0.616[/C][C]0.416[/C][C]0.592[/C][C]1[/C][C]0.338[/C][C]0.209[/C][C]0.29[/C][C]0.341[/C][C]0.454[/C][C]0.337[/C][C]0.523[/C][C]0.455[/C][/ROW] [ROW][C]blogged_computations[/C][C]0.477[/C][C]0.477[/C][C]0.604[/C][C]0.347[/C][C]0.543[/C][C]0.338[/C][C]1[/C][C]0.425[/C][C]0.259[/C][C]0.642[/C][C]0.655[/C][C]0.539[/C][C]0.275[/C][C]0.657[/C][/ROW] [ROW][C]compendiums_reviewed[/C][C]0.644[/C][C]0.174[/C][C]0.242[/C][C]0.091[/C][C]0.232[/C][C]0.209[/C][C]0.425[/C][C]1[/C][C]0.234[/C][C]0.162[/C][C]0.178[/C][C]0.696[/C][C]0.207[/C][C]0.179[/C][/ROW] [ROW][C]totsize[/C][C]0.312[/C][C]0.221[/C][C]0.373[/C][C]0.197[/C][C]0.263[/C][C]0.29[/C][C]0.259[/C][C]0.234[/C][C]1[/C][C]0.442[/C][C]0.477[/C][C]0.311[/C][C]0.088[/C][C]0.477[/C][/ROW] [ROW][C]totrevisions[/C][C]0.359[/C][C]0.409[/C][C]0.671[/C][C]0.389[/C][C]0.48[/C][C]0.341[/C][C]0.642[/C][C]0.162[/C][C]0.442[/C][C]1[/C][C]0.873[/C][C]0.389[/C][C]0.14[/C][C]0.873[/C][/ROW] [ROW][C]totseconds[/C][C]0.347[/C][C]0.522[/C][C]0.818[/C][C]0.482[/C][C]0.602[/C][C]0.454[/C][C]0.655[/C][C]0.178[/C][C]0.477[/C][C]0.873[/C][C]1[/C][C]0.37[/C][C]0.244[/C][C]1[/C][/ROW] [ROW][C]LFM[/C][C]0.939[/C][C]0.313[/C][C]0.439[/C][C]0.318[/C][C]0.381[/C][C]0.337[/C][C]0.539[/C][C]0.696[/C][C]0.311[/C][C]0.389[/C][C]0.37[/C][C]1[/C][C]0.32[/C][C]0.373[/C][/ROW] [ROW][C]PRH[/C][C]0.279[/C][C]0.782[/C][C]0.757[/C][C]0.641[/C][C]0.766[/C][C]0.523[/C][C]0.275[/C][C]0.207[/C][C]0.088[/C][C]0.14[/C][C]0.244[/C][C]0.32[/C][C]1[/C][C]0.245[/C][/ROW] [ROW][C]CH[/C][C]0.35[/C][C]0.522[/C][C]0.819[/C][C]0.482[/C][C]0.604[/C][C]0.455[/C][C]0.657[/C][C]0.179[/C][C]0.477[/C][C]0.873[/C][C]1[/C][C]0.373[/C][C]0.245[/C][C]1[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=263943&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=263943&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Correlations for all pairs of data series (method=pearson)
PRpageviewstime_in_rfcloginscompendium_views_infocompendium_views_prblogged_computationscompendiums_reviewedtotsizetotrevisionstotsecondsLFMPRHCH
PR10.2430.3990.270.3330.2980.4770.6440.3120.3590.3470.9390.2790.35
pageviews0.24310.8150.7450.8340.570.4770.1740.2210.4090.5220.3130.7820.522
time_in_rfc0.3990.81510.7040.8590.6160.6040.2420.3730.6710.8180.4390.7570.819
logins0.270.7450.70410.6510.4160.3470.0910.1970.3890.4820.3180.6410.482
compendium_views_info0.3330.8340.8590.65110.5920.5430.2320.2630.480.6020.3810.7660.604
compendium_views_pr0.2980.570.6160.4160.59210.3380.2090.290.3410.4540.3370.5230.455
blogged_computations0.4770.4770.6040.3470.5430.33810.4250.2590.6420.6550.5390.2750.657
compendiums_reviewed0.6440.1740.2420.0910.2320.2090.42510.2340.1620.1780.6960.2070.179
totsize0.3120.2210.3730.1970.2630.290.2590.23410.4420.4770.3110.0880.477
totrevisions0.3590.4090.6710.3890.480.3410.6420.1620.44210.8730.3890.140.873
totseconds0.3470.5220.8180.4820.6020.4540.6550.1780.4770.87310.370.2441
LFM0.9390.3130.4390.3180.3810.3370.5390.6960.3110.3890.3710.320.373
PRH0.2790.7820.7570.6410.7660.5230.2750.2070.0880.140.2440.3210.245
CH0.350.5220.8190.4820.6040.4550.6570.1790.4770.87310.3730.2451







Correlations for all pairs of data series with p-values
pairPearson rSpearman rhoKendall tau
PR;pageviews0.24280.33370.2642
p-value(0.0014)(0)(0)
PR;time_in_rfc0.39940.3780.2946
p-value(0)(0)(0)
PR;logins0.27020.28540.2182
p-value(4e-04)(2e-04)(2e-04)
PR;compendium_views_info0.3330.37480.2875
p-value(0)(0)(0)
PR;compendium_views_pr0.29750.37730.2903
p-value(1e-04)(0)(0)
PR;blogged_computations0.47720.47260.3737
p-value(0)(0)(0)
PR;compendiums_reviewed0.64360.65910.5373
p-value(0)(0)(0)
PR;totsize0.31240.41190.3249
p-value(0)(0)(0)
PR;totrevisions0.35870.3490.2652
p-value(0)(0)(0)
PR;totseconds0.34710.32750.2568
p-value(0)(0)(0)
PR;LFM0.93880.9570.854
p-value(0)(0)(0)
PR;PRH0.27890.29670.2237
p-value(2e-04)(1e-04)(1e-04)
PR;CH0.34980.33080.2617
p-value(0)(0)(0)
pageviews;time_in_rfc0.8150.8530.685
p-value(0)(0)(0)
pageviews;logins0.74490.760.5725
p-value(0)(0)(0)
pageviews;compendium_views_info0.83390.92640.8242
p-value(0)(0)(0)
pageviews;compendium_views_pr0.570.65130.4802
p-value(0)(0)(0)
pageviews;blogged_computations0.47690.54240.3927
p-value(0)(0)(0)
pageviews;compendiums_reviewed0.17380.18750.1313
p-value(0.023)(0.0141)(0.0125)
pageviews;totsize0.22060.30010.2086
p-value(0.0037)(1e-04)(1e-04)
pageviews;totrevisions0.4090.46480.3355
p-value(0)(0)(0)
pageviews;totseconds0.52170.60330.4374
p-value(0)(0)(0)
pageviews;LFM0.31280.38690.2717
p-value(0)(0)(0)
pageviews;PRH0.78250.68740.5076
p-value(0)(0)(0)
pageviews;CH0.52210.60210.4395
p-value(0)(0)(0)
time_in_rfc;logins0.70440.71520.5245
p-value(0)(0)(0)
time_in_rfc;compendium_views_info0.85910.82730.6552
p-value(0)(0)(0)
time_in_rfc;compendium_views_pr0.6160.54710.3938
p-value(0)(0)(0)
time_in_rfc;blogged_computations0.60420.56510.3987
p-value(0)(0)(0)
time_in_rfc;compendiums_reviewed0.24190.18760.1311
p-value(0.0014)(0.014)(0.0126)
time_in_rfc;totsize0.37250.39380.2786
p-value(0)(0)(0)
time_in_rfc;totrevisions0.67120.62020.4497
p-value(0)(0)(0)
time_in_rfc;totseconds0.81840.79580.6087
p-value(0)(0)(0)
time_in_rfc;LFM0.4390.40220.2833
p-value(0)(0)(0)
time_in_rfc;PRH0.75690.69430.5122
p-value(0)(0)(0)
time_in_rfc;CH0.81890.7950.6126
p-value(0)(0)(0)
logins;compendium_views_info0.65130.66050.4844
p-value(0)(0)(0)
logins;compendium_views_pr0.41640.46740.3344
p-value(0)(0)(0)
logins;blogged_computations0.3470.34340.2483
p-value(0)(0)(0)
logins;compendiums_reviewed0.09060.05370.0398
p-value(0.2385)(0.4856)(0.4504)
logins;totsize0.19670.30680.2169
p-value(0.0099)(0)(0)
logins;totrevisions0.38890.37340.2628
p-value(0)(0)(0)
logins;totseconds0.48170.48910.3505
p-value(0)(0)(0)
logins;LFM0.31770.31340.218
p-value(0)(0)(0)
logins;PRH0.64070.60450.4439
p-value(0)(0)(0)
logins;CH0.48170.48550.3497
p-value(0)(0)(0)
compendium_views_info;compendium_views_pr0.59230.58660.4265
p-value(0)(0)(0)
compendium_views_info;blogged_computations0.54340.55350.3921
p-value(0)(0)(0)
compendium_views_info;compendiums_reviewed0.23170.22190.1548
p-value(0.0023)(0.0035)(0.0032)
compendium_views_info;totsize0.2630.3120.2165
p-value(5e-04)(0)(0)
compendium_views_info;totrevisions0.47990.50730.3591
p-value(0)(0)(0)
compendium_views_info;totseconds0.60210.63640.4543
p-value(0)(0)(0)
compendium_views_info;LFM0.38060.42280.2918
p-value(0)(0)(0)
compendium_views_info;PRH0.76610.64680.4775
p-value(0)(0)(0)
compendium_views_info;CH0.60360.63590.4564
p-value(0)(0)(0)
compendium_views_pr;blogged_computations0.33790.35730.247
p-value(0)(0)(0)
compendium_views_pr;compendiums_reviewed0.20930.27590.1899
p-value(0.006)(3e-04)(3e-04)
compendium_views_pr;totsize0.28990.19170.1351
p-value(1e-04)(0.012)(0.0089)
compendium_views_pr;totrevisions0.3410.22410.1513
p-value(0)(0.0032)(0.0034)
compendium_views_pr;totseconds0.45440.32150.2246
p-value(0)(0)(0)
compendium_views_pr;LFM0.33660.41960.2906
p-value(0)(0)(0)
compendium_views_pr;PRH0.52270.53340.3799
p-value(0)(0)(0)
compendium_views_pr;CH0.45480.32170.2273
p-value(0)(0)(0)
blogged_computations;compendiums_reviewed0.4250.42480.3068
p-value(0)(0)(0)
blogged_computations;totsize0.25860.35750.2577
p-value(6e-04)(0)(0)
blogged_computations;totrevisions0.64150.64590.466
p-value(0)(0)(0)
blogged_computations;totseconds0.65530.65540.4666
p-value(0)(0)(0)
blogged_computations;LFM0.53880.52290.3673
p-value(0)(0)(0)
blogged_computations;PRH0.27540.22660.1609
p-value(3e-04)(0.0029)(0.002)
blogged_computations;CH0.65720.65760.4727
p-value(0)(0)(0)
compendiums_reviewed;totsize0.23360.31220.22
p-value(0.0021)(0)(0)
compendiums_reviewed;totrevisions0.16240.16690.12
p-value(0.0338)(0.0292)(0.0224)
compendiums_reviewed;totseconds0.17780.15770.1103
p-value(0.02)(0.0394)(0.0359)
compendiums_reviewed;LFM0.69580.6830.5153
p-value(0)(0)(0)
compendiums_reviewed;PRH0.20720.19090.1298
p-value(0.0066)(0.0124)(0.0143)
compendiums_reviewed;CH0.17930.16270.1136
p-value(0.019)(0.0335)(0.0321)
totsize;totrevisions0.44190.46890.3381
p-value(0)(0)(0)
totsize;totseconds0.47690.49780.3528
p-value(0)(0)(0)
totsize;LFM0.3110.42690.2996
p-value(0)(0)(0)
totsize;PRH0.08810.09380.0681
p-value(0.2519)(0.2225)(0.1899)
totsize;CH0.47660.49890.3567
p-value(0)(0)(0)
totrevisions;totseconds0.8730.87020.683
p-value(0)(0)(0)
totrevisions;LFM0.38860.37940.2602
p-value(0)(0)(0)
totrevisions;PRH0.13990.05450.038
p-value(0.068)(0.4789)(0.4648)
totrevisions;CH0.87260.86980.6881
p-value(0)(0)(0)
totseconds;LFM0.37030.34850.2478
p-value(0)(0)(0)
totseconds;PRH0.2440.16960.1176
p-value(0.0013)(0.0265)(0.0235)
totseconds;CH0.99990.99970.991
p-value(0)(0)(0)
LFM;PRH0.31960.31730.2153
p-value(0)(0)(0)
LFM;CH0.37310.35180.2513
p-value(0)(0)(0)
PRH;CH0.2450.16870.1171
p-value(0.0012)(0.0274)(0.0254)

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series with p-values \tabularnewline
pair & Pearson r & Spearman rho & Kendall tau \tabularnewline
PR;pageviews & 0.2428 & 0.3337 & 0.2642 \tabularnewline
p-value & (0.0014) & (0) & (0) \tabularnewline
PR;time_in_rfc & 0.3994 & 0.378 & 0.2946 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
PR;logins & 0.2702 & 0.2854 & 0.2182 \tabularnewline
p-value & (4e-04) & (2e-04) & (2e-04) \tabularnewline
PR;compendium_views_info & 0.333 & 0.3748 & 0.2875 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
PR;compendium_views_pr & 0.2975 & 0.3773 & 0.2903 \tabularnewline
p-value & (1e-04) & (0) & (0) \tabularnewline
PR;blogged_computations & 0.4772 & 0.4726 & 0.3737 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
PR;compendiums_reviewed & 0.6436 & 0.6591 & 0.5373 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
PR;totsize & 0.3124 & 0.4119 & 0.3249 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
PR;totrevisions & 0.3587 & 0.349 & 0.2652 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
PR;totseconds & 0.3471 & 0.3275 & 0.2568 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
PR;LFM & 0.9388 & 0.957 & 0.854 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
PR;PRH & 0.2789 & 0.2967 & 0.2237 \tabularnewline
p-value & (2e-04) & (1e-04) & (1e-04) \tabularnewline
PR;CH & 0.3498 & 0.3308 & 0.2617 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
pageviews;time_in_rfc & 0.815 & 0.853 & 0.685 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
pageviews;logins & 0.7449 & 0.76 & 0.5725 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
pageviews;compendium_views_info & 0.8339 & 0.9264 & 0.8242 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
pageviews;compendium_views_pr & 0.57 & 0.6513 & 0.4802 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
pageviews;blogged_computations & 0.4769 & 0.5424 & 0.3927 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
pageviews;compendiums_reviewed & 0.1738 & 0.1875 & 0.1313 \tabularnewline
p-value & (0.023) & (0.0141) & (0.0125) \tabularnewline
pageviews;totsize & 0.2206 & 0.3001 & 0.2086 \tabularnewline
p-value & (0.0037) & (1e-04) & (1e-04) \tabularnewline
pageviews;totrevisions & 0.409 & 0.4648 & 0.3355 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
pageviews;totseconds & 0.5217 & 0.6033 & 0.4374 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
pageviews;LFM & 0.3128 & 0.3869 & 0.2717 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
pageviews;PRH & 0.7825 & 0.6874 & 0.5076 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
pageviews;CH & 0.5221 & 0.6021 & 0.4395 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_in_rfc;logins & 0.7044 & 0.7152 & 0.5245 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_in_rfc;compendium_views_info & 0.8591 & 0.8273 & 0.6552 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_in_rfc;compendium_views_pr & 0.616 & 0.5471 & 0.3938 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_in_rfc;blogged_computations & 0.6042 & 0.5651 & 0.3987 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_in_rfc;compendiums_reviewed & 0.2419 & 0.1876 & 0.1311 \tabularnewline
p-value & (0.0014) & (0.014) & (0.0126) \tabularnewline
time_in_rfc;totsize & 0.3725 & 0.3938 & 0.2786 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_in_rfc;totrevisions & 0.6712 & 0.6202 & 0.4497 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_in_rfc;totseconds & 0.8184 & 0.7958 & 0.6087 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_in_rfc;LFM & 0.439 & 0.4022 & 0.2833 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_in_rfc;PRH & 0.7569 & 0.6943 & 0.5122 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
time_in_rfc;CH & 0.8189 & 0.795 & 0.6126 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;compendium_views_info & 0.6513 & 0.6605 & 0.4844 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;compendium_views_pr & 0.4164 & 0.4674 & 0.3344 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;blogged_computations & 0.347 & 0.3434 & 0.2483 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;compendiums_reviewed & 0.0906 & 0.0537 & 0.0398 \tabularnewline
p-value & (0.2385) & (0.4856) & (0.4504) \tabularnewline
logins;totsize & 0.1967 & 0.3068 & 0.2169 \tabularnewline
p-value & (0.0099) & (0) & (0) \tabularnewline
logins;totrevisions & 0.3889 & 0.3734 & 0.2628 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;totseconds & 0.4817 & 0.4891 & 0.3505 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;LFM & 0.3177 & 0.3134 & 0.218 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;PRH & 0.6407 & 0.6045 & 0.4439 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logins;CH & 0.4817 & 0.4855 & 0.3497 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendium_views_info;compendium_views_pr & 0.5923 & 0.5866 & 0.4265 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendium_views_info;blogged_computations & 0.5434 & 0.5535 & 0.3921 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendium_views_info;compendiums_reviewed & 0.2317 & 0.2219 & 0.1548 \tabularnewline
p-value & (0.0023) & (0.0035) & (0.0032) \tabularnewline
compendium_views_info;totsize & 0.263 & 0.312 & 0.2165 \tabularnewline
p-value & (5e-04) & (0) & (0) \tabularnewline
compendium_views_info;totrevisions & 0.4799 & 0.5073 & 0.3591 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendium_views_info;totseconds & 0.6021 & 0.6364 & 0.4543 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendium_views_info;LFM & 0.3806 & 0.4228 & 0.2918 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendium_views_info;PRH & 0.7661 & 0.6468 & 0.4775 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendium_views_info;CH & 0.6036 & 0.6359 & 0.4564 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendium_views_pr;blogged_computations & 0.3379 & 0.3573 & 0.247 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendium_views_pr;compendiums_reviewed & 0.2093 & 0.2759 & 0.1899 \tabularnewline
p-value & (0.006) & (3e-04) & (3e-04) \tabularnewline
compendium_views_pr;totsize & 0.2899 & 0.1917 & 0.1351 \tabularnewline
p-value & (1e-04) & (0.012) & (0.0089) \tabularnewline
compendium_views_pr;totrevisions & 0.341 & 0.2241 & 0.1513 \tabularnewline
p-value & (0) & (0.0032) & (0.0034) \tabularnewline
compendium_views_pr;totseconds & 0.4544 & 0.3215 & 0.2246 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendium_views_pr;LFM & 0.3366 & 0.4196 & 0.2906 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendium_views_pr;PRH & 0.5227 & 0.5334 & 0.3799 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendium_views_pr;CH & 0.4548 & 0.3217 & 0.2273 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
blogged_computations;compendiums_reviewed & 0.425 & 0.4248 & 0.3068 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
blogged_computations;totsize & 0.2586 & 0.3575 & 0.2577 \tabularnewline
p-value & (6e-04) & (0) & (0) \tabularnewline
blogged_computations;totrevisions & 0.6415 & 0.6459 & 0.466 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
blogged_computations;totseconds & 0.6553 & 0.6554 & 0.4666 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
blogged_computations;LFM & 0.5388 & 0.5229 & 0.3673 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
blogged_computations;PRH & 0.2754 & 0.2266 & 0.1609 \tabularnewline
p-value & (3e-04) & (0.0029) & (0.002) \tabularnewline
blogged_computations;CH & 0.6572 & 0.6576 & 0.4727 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendiums_reviewed;totsize & 0.2336 & 0.3122 & 0.22 \tabularnewline
p-value & (0.0021) & (0) & (0) \tabularnewline
compendiums_reviewed;totrevisions & 0.1624 & 0.1669 & 0.12 \tabularnewline
p-value & (0.0338) & (0.0292) & (0.0224) \tabularnewline
compendiums_reviewed;totseconds & 0.1778 & 0.1577 & 0.1103 \tabularnewline
p-value & (0.02) & (0.0394) & (0.0359) \tabularnewline
compendiums_reviewed;LFM & 0.6958 & 0.683 & 0.5153 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
compendiums_reviewed;PRH & 0.2072 & 0.1909 & 0.1298 \tabularnewline
p-value & (0.0066) & (0.0124) & (0.0143) \tabularnewline
compendiums_reviewed;CH & 0.1793 & 0.1627 & 0.1136 \tabularnewline
p-value & (0.019) & (0.0335) & (0.0321) \tabularnewline
totsize;totrevisions & 0.4419 & 0.4689 & 0.3381 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
totsize;totseconds & 0.4769 & 0.4978 & 0.3528 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
totsize;LFM & 0.311 & 0.4269 & 0.2996 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
totsize;PRH & 0.0881 & 0.0938 & 0.0681 \tabularnewline
p-value & (0.2519) & (0.2225) & (0.1899) \tabularnewline
totsize;CH & 0.4766 & 0.4989 & 0.3567 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
totrevisions;totseconds & 0.873 & 0.8702 & 0.683 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
totrevisions;LFM & 0.3886 & 0.3794 & 0.2602 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
totrevisions;PRH & 0.1399 & 0.0545 & 0.038 \tabularnewline
p-value & (0.068) & (0.4789) & (0.4648) \tabularnewline
totrevisions;CH & 0.8726 & 0.8698 & 0.6881 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
totseconds;LFM & 0.3703 & 0.3485 & 0.2478 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
totseconds;PRH & 0.244 & 0.1696 & 0.1176 \tabularnewline
p-value & (0.0013) & (0.0265) & (0.0235) \tabularnewline
totseconds;CH & 0.9999 & 0.9997 & 0.991 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
LFM;PRH & 0.3196 & 0.3173 & 0.2153 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
LFM;CH & 0.3731 & 0.3518 & 0.2513 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
PRH;CH & 0.245 & 0.1687 & 0.1171 \tabularnewline
p-value & (0.0012) & (0.0274) & (0.0254) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=263943&T=2

[TABLE]
[ROW][C]Correlations for all pairs of data series with p-values[/C][/ROW]
[ROW][C]pair[/C][C]Pearson r[/C][C]Spearman rho[/C][C]Kendall tau[/C][/ROW]
[ROW][C]PR;pageviews[/C][C]0.2428[/C][C]0.3337[/C][C]0.2642[/C][/ROW]
[ROW][C]p-value[/C][C](0.0014)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]PR;time_in_rfc[/C][C]0.3994[/C][C]0.378[/C][C]0.2946[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]PR;logins[/C][C]0.2702[/C][C]0.2854[/C][C]0.2182[/C][/ROW]
[ROW][C]p-value[/C][C](4e-04)[/C][C](2e-04)[/C][C](2e-04)[/C][/ROW]
[ROW][C]PR;compendium_views_info[/C][C]0.333[/C][C]0.3748[/C][C]0.2875[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]PR;compendium_views_pr[/C][C]0.2975[/C][C]0.3773[/C][C]0.2903[/C][/ROW]
[ROW][C]p-value[/C][C](1e-04)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]PR;blogged_computations[/C][C]0.4772[/C][C]0.4726[/C][C]0.3737[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]PR;compendiums_reviewed[/C][C]0.6436[/C][C]0.6591[/C][C]0.5373[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]PR;totsize[/C][C]0.3124[/C][C]0.4119[/C][C]0.3249[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]PR;totrevisions[/C][C]0.3587[/C][C]0.349[/C][C]0.2652[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]PR;totseconds[/C][C]0.3471[/C][C]0.3275[/C][C]0.2568[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]PR;LFM[/C][C]0.9388[/C][C]0.957[/C][C]0.854[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]PR;PRH[/C][C]0.2789[/C][C]0.2967[/C][C]0.2237[/C][/ROW]
[ROW][C]p-value[/C][C](2e-04)[/C][C](1e-04)[/C][C](1e-04)[/C][/ROW]
[ROW][C]PR;CH[/C][C]0.3498[/C][C]0.3308[/C][C]0.2617[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]pageviews;time_in_rfc[/C][C]0.815[/C][C]0.853[/C][C]0.685[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]pageviews;logins[/C][C]0.7449[/C][C]0.76[/C][C]0.5725[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]pageviews;compendium_views_info[/C][C]0.8339[/C][C]0.9264[/C][C]0.8242[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]pageviews;compendium_views_pr[/C][C]0.57[/C][C]0.6513[/C][C]0.4802[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]pageviews;blogged_computations[/C][C]0.4769[/C][C]0.5424[/C][C]0.3927[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]pageviews;compendiums_reviewed[/C][C]0.1738[/C][C]0.1875[/C][C]0.1313[/C][/ROW]
[ROW][C]p-value[/C][C](0.023)[/C][C](0.0141)[/C][C](0.0125)[/C][/ROW]
[ROW][C]pageviews;totsize[/C][C]0.2206[/C][C]0.3001[/C][C]0.2086[/C][/ROW]
[ROW][C]p-value[/C][C](0.0037)[/C][C](1e-04)[/C][C](1e-04)[/C][/ROW]
[ROW][C]pageviews;totrevisions[/C][C]0.409[/C][C]0.4648[/C][C]0.3355[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]pageviews;totseconds[/C][C]0.5217[/C][C]0.6033[/C][C]0.4374[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]pageviews;LFM[/C][C]0.3128[/C][C]0.3869[/C][C]0.2717[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]pageviews;PRH[/C][C]0.7825[/C][C]0.6874[/C][C]0.5076[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]pageviews;CH[/C][C]0.5221[/C][C]0.6021[/C][C]0.4395[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]time_in_rfc;logins[/C][C]0.7044[/C][C]0.7152[/C][C]0.5245[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]time_in_rfc;compendium_views_info[/C][C]0.8591[/C][C]0.8273[/C][C]0.6552[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]time_in_rfc;compendium_views_pr[/C][C]0.616[/C][C]0.5471[/C][C]0.3938[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]time_in_rfc;blogged_computations[/C][C]0.6042[/C][C]0.5651[/C][C]0.3987[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]time_in_rfc;compendiums_reviewed[/C][C]0.2419[/C][C]0.1876[/C][C]0.1311[/C][/ROW]
[ROW][C]p-value[/C][C](0.0014)[/C][C](0.014)[/C][C](0.0126)[/C][/ROW]
[ROW][C]time_in_rfc;totsize[/C][C]0.3725[/C][C]0.3938[/C][C]0.2786[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]time_in_rfc;totrevisions[/C][C]0.6712[/C][C]0.6202[/C][C]0.4497[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]time_in_rfc;totseconds[/C][C]0.8184[/C][C]0.7958[/C][C]0.6087[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]time_in_rfc;LFM[/C][C]0.439[/C][C]0.4022[/C][C]0.2833[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]time_in_rfc;PRH[/C][C]0.7569[/C][C]0.6943[/C][C]0.5122[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]time_in_rfc;CH[/C][C]0.8189[/C][C]0.795[/C][C]0.6126[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logins;compendium_views_info[/C][C]0.6513[/C][C]0.6605[/C][C]0.4844[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logins;compendium_views_pr[/C][C]0.4164[/C][C]0.4674[/C][C]0.3344[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logins;blogged_computations[/C][C]0.347[/C][C]0.3434[/C][C]0.2483[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logins;compendiums_reviewed[/C][C]0.0906[/C][C]0.0537[/C][C]0.0398[/C][/ROW]
[ROW][C]p-value[/C][C](0.2385)[/C][C](0.4856)[/C][C](0.4504)[/C][/ROW]
[ROW][C]logins;totsize[/C][C]0.1967[/C][C]0.3068[/C][C]0.2169[/C][/ROW]
[ROW][C]p-value[/C][C](0.0099)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logins;totrevisions[/C][C]0.3889[/C][C]0.3734[/C][C]0.2628[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logins;totseconds[/C][C]0.4817[/C][C]0.4891[/C][C]0.3505[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logins;LFM[/C][C]0.3177[/C][C]0.3134[/C][C]0.218[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logins;PRH[/C][C]0.6407[/C][C]0.6045[/C][C]0.4439[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logins;CH[/C][C]0.4817[/C][C]0.4855[/C][C]0.3497[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendium_views_info;compendium_views_pr[/C][C]0.5923[/C][C]0.5866[/C][C]0.4265[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendium_views_info;blogged_computations[/C][C]0.5434[/C][C]0.5535[/C][C]0.3921[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendium_views_info;compendiums_reviewed[/C][C]0.2317[/C][C]0.2219[/C][C]0.1548[/C][/ROW]
[ROW][C]p-value[/C][C](0.0023)[/C][C](0.0035)[/C][C](0.0032)[/C][/ROW]
[ROW][C]compendium_views_info;totsize[/C][C]0.263[/C][C]0.312[/C][C]0.2165[/C][/ROW]
[ROW][C]p-value[/C][C](5e-04)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendium_views_info;totrevisions[/C][C]0.4799[/C][C]0.5073[/C][C]0.3591[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendium_views_info;totseconds[/C][C]0.6021[/C][C]0.6364[/C][C]0.4543[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendium_views_info;LFM[/C][C]0.3806[/C][C]0.4228[/C][C]0.2918[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendium_views_info;PRH[/C][C]0.7661[/C][C]0.6468[/C][C]0.4775[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendium_views_info;CH[/C][C]0.6036[/C][C]0.6359[/C][C]0.4564[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendium_views_pr;blogged_computations[/C][C]0.3379[/C][C]0.3573[/C][C]0.247[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendium_views_pr;compendiums_reviewed[/C][C]0.2093[/C][C]0.2759[/C][C]0.1899[/C][/ROW]
[ROW][C]p-value[/C][C](0.006)[/C][C](3e-04)[/C][C](3e-04)[/C][/ROW]
[ROW][C]compendium_views_pr;totsize[/C][C]0.2899[/C][C]0.1917[/C][C]0.1351[/C][/ROW]
[ROW][C]p-value[/C][C](1e-04)[/C][C](0.012)[/C][C](0.0089)[/C][/ROW]
[ROW][C]compendium_views_pr;totrevisions[/C][C]0.341[/C][C]0.2241[/C][C]0.1513[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0.0032)[/C][C](0.0034)[/C][/ROW]
[ROW][C]compendium_views_pr;totseconds[/C][C]0.4544[/C][C]0.3215[/C][C]0.2246[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendium_views_pr;LFM[/C][C]0.3366[/C][C]0.4196[/C][C]0.2906[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendium_views_pr;PRH[/C][C]0.5227[/C][C]0.5334[/C][C]0.3799[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendium_views_pr;CH[/C][C]0.4548[/C][C]0.3217[/C][C]0.2273[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]blogged_computations;compendiums_reviewed[/C][C]0.425[/C][C]0.4248[/C][C]0.3068[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]blogged_computations;totsize[/C][C]0.2586[/C][C]0.3575[/C][C]0.2577[/C][/ROW]
[ROW][C]p-value[/C][C](6e-04)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]blogged_computations;totrevisions[/C][C]0.6415[/C][C]0.6459[/C][C]0.466[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]blogged_computations;totseconds[/C][C]0.6553[/C][C]0.6554[/C][C]0.4666[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]blogged_computations;LFM[/C][C]0.5388[/C][C]0.5229[/C][C]0.3673[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]blogged_computations;PRH[/C][C]0.2754[/C][C]0.2266[/C][C]0.1609[/C][/ROW]
[ROW][C]p-value[/C][C](3e-04)[/C][C](0.0029)[/C][C](0.002)[/C][/ROW]
[ROW][C]blogged_computations;CH[/C][C]0.6572[/C][C]0.6576[/C][C]0.4727[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendiums_reviewed;totsize[/C][C]0.2336[/C][C]0.3122[/C][C]0.22[/C][/ROW]
[ROW][C]p-value[/C][C](0.0021)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendiums_reviewed;totrevisions[/C][C]0.1624[/C][C]0.1669[/C][C]0.12[/C][/ROW]
[ROW][C]p-value[/C][C](0.0338)[/C][C](0.0292)[/C][C](0.0224)[/C][/ROW]
[ROW][C]compendiums_reviewed;totseconds[/C][C]0.1778[/C][C]0.1577[/C][C]0.1103[/C][/ROW]
[ROW][C]p-value[/C][C](0.02)[/C][C](0.0394)[/C][C](0.0359)[/C][/ROW]
[ROW][C]compendiums_reviewed;LFM[/C][C]0.6958[/C][C]0.683[/C][C]0.5153[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]compendiums_reviewed;PRH[/C][C]0.2072[/C][C]0.1909[/C][C]0.1298[/C][/ROW]
[ROW][C]p-value[/C][C](0.0066)[/C][C](0.0124)[/C][C](0.0143)[/C][/ROW]
[ROW][C]compendiums_reviewed;CH[/C][C]0.1793[/C][C]0.1627[/C][C]0.1136[/C][/ROW]
[ROW][C]p-value[/C][C](0.019)[/C][C](0.0335)[/C][C](0.0321)[/C][/ROW]
[ROW][C]totsize;totrevisions[/C][C]0.4419[/C][C]0.4689[/C][C]0.3381[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]totsize;totseconds[/C][C]0.4769[/C][C]0.4978[/C][C]0.3528[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]totsize;LFM[/C][C]0.311[/C][C]0.4269[/C][C]0.2996[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]totsize;PRH[/C][C]0.0881[/C][C]0.0938[/C][C]0.0681[/C][/ROW]
[ROW][C]p-value[/C][C](0.2519)[/C][C](0.2225)[/C][C](0.1899)[/C][/ROW]
[ROW][C]totsize;CH[/C][C]0.4766[/C][C]0.4989[/C][C]0.3567[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]totrevisions;totseconds[/C][C]0.873[/C][C]0.8702[/C][C]0.683[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]totrevisions;LFM[/C][C]0.3886[/C][C]0.3794[/C][C]0.2602[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]totrevisions;PRH[/C][C]0.1399[/C][C]0.0545[/C][C]0.038[/C][/ROW]
[ROW][C]p-value[/C][C](0.068)[/C][C](0.4789)[/C][C](0.4648)[/C][/ROW]
[ROW][C]totrevisions;CH[/C][C]0.8726[/C][C]0.8698[/C][C]0.6881[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]totseconds;LFM[/C][C]0.3703[/C][C]0.3485[/C][C]0.2478[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]totseconds;PRH[/C][C]0.244[/C][C]0.1696[/C][C]0.1176[/C][/ROW]
[ROW][C]p-value[/C][C](0.0013)[/C][C](0.0265)[/C][C](0.0235)[/C][/ROW]
[ROW][C]totseconds;CH[/C][C]0.9999[/C][C]0.9997[/C][C]0.991[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]LFM;PRH[/C][C]0.3196[/C][C]0.3173[/C][C]0.2153[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]LFM;CH[/C][C]0.3731[/C][C]0.3518[/C][C]0.2513[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]PRH;CH[/C][C]0.245[/C][C]0.1687[/C][C]0.1171[/C][/ROW]
[ROW][C]p-value[/C][C](0.0012)[/C][C](0.0274)[/C][C](0.0254)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=263943&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=263943&T=2

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Correlations for all pairs of data series with p-values
pairPearson rSpearman rhoKendall tau
PR;pageviews0.24280.33370.2642
p-value(0.0014)(0)(0)
PR;time_in_rfc0.39940.3780.2946
p-value(0)(0)(0)
PR;logins0.27020.28540.2182
p-value(4e-04)(2e-04)(2e-04)
PR;compendium_views_info0.3330.37480.2875
p-value(0)(0)(0)
PR;compendium_views_pr0.29750.37730.2903
p-value(1e-04)(0)(0)
PR;blogged_computations0.47720.47260.3737
p-value(0)(0)(0)
PR;compendiums_reviewed0.64360.65910.5373
p-value(0)(0)(0)
PR;totsize0.31240.41190.3249
p-value(0)(0)(0)
PR;totrevisions0.35870.3490.2652
p-value(0)(0)(0)
PR;totseconds0.34710.32750.2568
p-value(0)(0)(0)
PR;LFM0.93880.9570.854
p-value(0)(0)(0)
PR;PRH0.27890.29670.2237
p-value(2e-04)(1e-04)(1e-04)
PR;CH0.34980.33080.2617
p-value(0)(0)(0)
pageviews;time_in_rfc0.8150.8530.685
p-value(0)(0)(0)
pageviews;logins0.74490.760.5725
p-value(0)(0)(0)
pageviews;compendium_views_info0.83390.92640.8242
p-value(0)(0)(0)
pageviews;compendium_views_pr0.570.65130.4802
p-value(0)(0)(0)
pageviews;blogged_computations0.47690.54240.3927
p-value(0)(0)(0)
pageviews;compendiums_reviewed0.17380.18750.1313
p-value(0.023)(0.0141)(0.0125)
pageviews;totsize0.22060.30010.2086
p-value(0.0037)(1e-04)(1e-04)
pageviews;totrevisions0.4090.46480.3355
p-value(0)(0)(0)
pageviews;totseconds0.52170.60330.4374
p-value(0)(0)(0)
pageviews;LFM0.31280.38690.2717
p-value(0)(0)(0)
pageviews;PRH0.78250.68740.5076
p-value(0)(0)(0)
pageviews;CH0.52210.60210.4395
p-value(0)(0)(0)
time_in_rfc;logins0.70440.71520.5245
p-value(0)(0)(0)
time_in_rfc;compendium_views_info0.85910.82730.6552
p-value(0)(0)(0)
time_in_rfc;compendium_views_pr0.6160.54710.3938
p-value(0)(0)(0)
time_in_rfc;blogged_computations0.60420.56510.3987
p-value(0)(0)(0)
time_in_rfc;compendiums_reviewed0.24190.18760.1311
p-value(0.0014)(0.014)(0.0126)
time_in_rfc;totsize0.37250.39380.2786
p-value(0)(0)(0)
time_in_rfc;totrevisions0.67120.62020.4497
p-value(0)(0)(0)
time_in_rfc;totseconds0.81840.79580.6087
p-value(0)(0)(0)
time_in_rfc;LFM0.4390.40220.2833
p-value(0)(0)(0)
time_in_rfc;PRH0.75690.69430.5122
p-value(0)(0)(0)
time_in_rfc;CH0.81890.7950.6126
p-value(0)(0)(0)
logins;compendium_views_info0.65130.66050.4844
p-value(0)(0)(0)
logins;compendium_views_pr0.41640.46740.3344
p-value(0)(0)(0)
logins;blogged_computations0.3470.34340.2483
p-value(0)(0)(0)
logins;compendiums_reviewed0.09060.05370.0398
p-value(0.2385)(0.4856)(0.4504)
logins;totsize0.19670.30680.2169
p-value(0.0099)(0)(0)
logins;totrevisions0.38890.37340.2628
p-value(0)(0)(0)
logins;totseconds0.48170.48910.3505
p-value(0)(0)(0)
logins;LFM0.31770.31340.218
p-value(0)(0)(0)
logins;PRH0.64070.60450.4439
p-value(0)(0)(0)
logins;CH0.48170.48550.3497
p-value(0)(0)(0)
compendium_views_info;compendium_views_pr0.59230.58660.4265
p-value(0)(0)(0)
compendium_views_info;blogged_computations0.54340.55350.3921
p-value(0)(0)(0)
compendium_views_info;compendiums_reviewed0.23170.22190.1548
p-value(0.0023)(0.0035)(0.0032)
compendium_views_info;totsize0.2630.3120.2165
p-value(5e-04)(0)(0)
compendium_views_info;totrevisions0.47990.50730.3591
p-value(0)(0)(0)
compendium_views_info;totseconds0.60210.63640.4543
p-value(0)(0)(0)
compendium_views_info;LFM0.38060.42280.2918
p-value(0)(0)(0)
compendium_views_info;PRH0.76610.64680.4775
p-value(0)(0)(0)
compendium_views_info;CH0.60360.63590.4564
p-value(0)(0)(0)
compendium_views_pr;blogged_computations0.33790.35730.247
p-value(0)(0)(0)
compendium_views_pr;compendiums_reviewed0.20930.27590.1899
p-value(0.006)(3e-04)(3e-04)
compendium_views_pr;totsize0.28990.19170.1351
p-value(1e-04)(0.012)(0.0089)
compendium_views_pr;totrevisions0.3410.22410.1513
p-value(0)(0.0032)(0.0034)
compendium_views_pr;totseconds0.45440.32150.2246
p-value(0)(0)(0)
compendium_views_pr;LFM0.33660.41960.2906
p-value(0)(0)(0)
compendium_views_pr;PRH0.52270.53340.3799
p-value(0)(0)(0)
compendium_views_pr;CH0.45480.32170.2273
p-value(0)(0)(0)
blogged_computations;compendiums_reviewed0.4250.42480.3068
p-value(0)(0)(0)
blogged_computations;totsize0.25860.35750.2577
p-value(6e-04)(0)(0)
blogged_computations;totrevisions0.64150.64590.466
p-value(0)(0)(0)
blogged_computations;totseconds0.65530.65540.4666
p-value(0)(0)(0)
blogged_computations;LFM0.53880.52290.3673
p-value(0)(0)(0)
blogged_computations;PRH0.27540.22660.1609
p-value(3e-04)(0.0029)(0.002)
blogged_computations;CH0.65720.65760.4727
p-value(0)(0)(0)
compendiums_reviewed;totsize0.23360.31220.22
p-value(0.0021)(0)(0)
compendiums_reviewed;totrevisions0.16240.16690.12
p-value(0.0338)(0.0292)(0.0224)
compendiums_reviewed;totseconds0.17780.15770.1103
p-value(0.02)(0.0394)(0.0359)
compendiums_reviewed;LFM0.69580.6830.5153
p-value(0)(0)(0)
compendiums_reviewed;PRH0.20720.19090.1298
p-value(0.0066)(0.0124)(0.0143)
compendiums_reviewed;CH0.17930.16270.1136
p-value(0.019)(0.0335)(0.0321)
totsize;totrevisions0.44190.46890.3381
p-value(0)(0)(0)
totsize;totseconds0.47690.49780.3528
p-value(0)(0)(0)
totsize;LFM0.3110.42690.2996
p-value(0)(0)(0)
totsize;PRH0.08810.09380.0681
p-value(0.2519)(0.2225)(0.1899)
totsize;CH0.47660.49890.3567
p-value(0)(0)(0)
totrevisions;totseconds0.8730.87020.683
p-value(0)(0)(0)
totrevisions;LFM0.38860.37940.2602
p-value(0)(0)(0)
totrevisions;PRH0.13990.05450.038
p-value(0.068)(0.4789)(0.4648)
totrevisions;CH0.87260.86980.6881
p-value(0)(0)(0)
totseconds;LFM0.37030.34850.2478
p-value(0)(0)(0)
totseconds;PRH0.2440.16960.1176
p-value(0.0013)(0.0265)(0.0235)
totseconds;CH0.99990.99970.991
p-value(0)(0)(0)
LFM;PRH0.31960.31730.2153
p-value(0)(0)(0)
LFM;CH0.37310.35180.2513
p-value(0)(0)(0)
PRH;CH0.2450.16870.1171
p-value(0.0012)(0.0274)(0.0254)







Meta Analysis of Correlation Tests
Number of significant by total number of Correlations
Type I errorPearson rSpearman rhoKendall tau
0.010.920.870.88
0.020.950.910.91
0.030.960.950.95
0.040.970.970.97
0.050.970.970.97
0.060.970.970.97
0.070.980.970.97
0.080.980.970.97
0.090.980.970.97
0.10.980.970.97

\begin{tabular}{lllllllll}
\hline
Meta Analysis of Correlation Tests \tabularnewline
Number of significant by total number of Correlations \tabularnewline
Type I error & Pearson r & Spearman rho & Kendall tau \tabularnewline
0.01 & 0.92 & 0.87 & 0.88 \tabularnewline
0.02 & 0.95 & 0.91 & 0.91 \tabularnewline
0.03 & 0.96 & 0.95 & 0.95 \tabularnewline
0.04 & 0.97 & 0.97 & 0.97 \tabularnewline
0.05 & 0.97 & 0.97 & 0.97 \tabularnewline
0.06 & 0.97 & 0.97 & 0.97 \tabularnewline
0.07 & 0.98 & 0.97 & 0.97 \tabularnewline
0.08 & 0.98 & 0.97 & 0.97 \tabularnewline
0.09 & 0.98 & 0.97 & 0.97 \tabularnewline
0.1 & 0.98 & 0.97 & 0.97 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=263943&T=3

[TABLE]
[ROW][C]Meta Analysis of Correlation Tests[/C][/ROW]
[ROW][C]Number of significant by total number of Correlations[/C][/ROW]
[ROW][C]Type I error[/C][C]Pearson r[/C][C]Spearman rho[/C][C]Kendall tau[/C][/ROW]
[ROW][C]0.01[/C][C]0.92[/C][C]0.87[/C][C]0.88[/C][/ROW]
[ROW][C]0.02[/C][C]0.95[/C][C]0.91[/C][C]0.91[/C][/ROW]
[ROW][C]0.03[/C][C]0.96[/C][C]0.95[/C][C]0.95[/C][/ROW]
[ROW][C]0.04[/C][C]0.97[/C][C]0.97[/C][C]0.97[/C][/ROW]
[ROW][C]0.05[/C][C]0.97[/C][C]0.97[/C][C]0.97[/C][/ROW]
[ROW][C]0.06[/C][C]0.97[/C][C]0.97[/C][C]0.97[/C][/ROW]
[ROW][C]0.07[/C][C]0.98[/C][C]0.97[/C][C]0.97[/C][/ROW]
[ROW][C]0.08[/C][C]0.98[/C][C]0.97[/C][C]0.97[/C][/ROW]
[ROW][C]0.09[/C][C]0.98[/C][C]0.97[/C][C]0.97[/C][/ROW]
[ROW][C]0.1[/C][C]0.98[/C][C]0.97[/C][C]0.97[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=263943&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=263943&T=3

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Meta Analysis of Correlation Tests
Number of significant by total number of Correlations
Type I errorPearson rSpearman rhoKendall tau
0.010.920.870.88
0.020.950.910.91
0.030.960.950.95
0.040.970.970.97
0.050.970.970.97
0.060.970.970.97
0.070.980.970.97
0.080.980.970.97
0.090.980.970.97
0.10.980.970.97



Parameters (Session):
par1 = pearson ;
Parameters (R input):
par1 = pearson ;
R code (references can be found in the software module):
panel.tau <- function(x, y, digits=2, prefix='', cex.cor)
{
usr <- par('usr'); on.exit(par(usr))
par(usr = c(0, 1, 0, 1))
rr <- cor.test(x, y, method=par1)
r <- round(rr$p.value,2)
txt <- format(c(r, 0.123456789), digits=digits)[1]
txt <- paste(prefix, txt, sep='')
if(missing(cex.cor)) cex <- 0.5/strwidth(txt)
text(0.5, 0.5, txt, cex = cex)
}
panel.hist <- function(x, ...)
{
usr <- par('usr'); on.exit(par(usr))
par(usr = c(usr[1:2], 0, 1.5) )
h <- hist(x, plot = FALSE)
breaks <- h$breaks; nB <- length(breaks)
y <- h$counts; y <- y/max(y)
rect(breaks[-nB], 0, breaks[-1], y, col='grey', ...)
}
bitmap(file='test1.png')
pairs(t(y),diag.panel=panel.hist, upper.panel=panel.smooth, lower.panel=panel.tau, main=main)
dev.off()
load(file='createtable')
n <- length(y[,1])
n
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,paste('Correlations for all pairs of data series (method=',par1,')',sep=''),n+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,' ',header=TRUE)
for (i in 1:n) {
a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE)
}
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE)
for (j in 1:n) {
r <- cor.test(y[i,],y[j,],method=par1)
a<-table.element(a,round(r$estimate,3))
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
ncorrs <- (n*n -n)/2
mycorrs <- array(0, dim=c(10,3))
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Correlations for all pairs of data series with p-values',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'pair',1,TRUE)
a<-table.element(a,'Pearson r',1,TRUE)
a<-table.element(a,'Spearman rho',1,TRUE)
a<-table.element(a,'Kendall tau',1,TRUE)
a<-table.row.end(a)
cor.test(y[1,],y[2,],method=par1)
for (i in 1:(n-1))
{
for (j in (i+1):n)
{
a<-table.row.start(a)
dum <- paste(dimnames(t(x))[[2]][i],';',dimnames(t(x))[[2]][j],sep='')
a<-table.element(a,dum,header=TRUE)
rp <- cor.test(y[i,],y[j,],method='pearson')
a<-table.element(a,round(rp$estimate,4))
rs <- cor.test(y[i,],y[j,],method='spearman')
a<-table.element(a,round(rs$estimate,4))
rk <- cor.test(y[i,],y[j,],method='kendall')
a<-table.element(a,round(rk$estimate,4))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p-value',header=T)
a<-table.element(a,paste('(',round(rp$p.value,4),')',sep=''))
a<-table.element(a,paste('(',round(rs$p.value,4),')',sep=''))
a<-table.element(a,paste('(',round(rk$p.value,4),')',sep=''))
a<-table.row.end(a)
for (iii in 1:10) {
iiid100 <- iii / 100
if (rp$p.value < iiid100) mycorrs[iii, 1] = mycorrs[iii, 1] + 1
if (rs$p.value < iiid100) mycorrs[iii, 2] = mycorrs[iii, 2] + 1
if (rk$p.value < iiid100) mycorrs[iii, 3] = mycorrs[iii, 3] + 1
}
}
}
a<-table.end(a)
table.save(a,file='mytable1.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Meta Analysis of Correlation Tests',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Number of significant by total number of Correlations',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Type I error',1,TRUE)
a<-table.element(a,'Pearson r',1,TRUE)
a<-table.element(a,'Spearman rho',1,TRUE)
a<-table.element(a,'Kendall tau',1,TRUE)
a<-table.row.end(a)
for (iii in 1:10) {
iiid100 <- iii / 100
a<-table.row.start(a)
a<-table.element(a,round(iiid100,2),header=T)
a<-table.element(a,round(mycorrs[iii,1]/ncorrs,2))
a<-table.element(a,round(mycorrs[iii,2]/ncorrs,2))
a<-table.element(a,round(mycorrs[iii,3]/ncorrs,2))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')