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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_BoxplotAndScatterplotMatrix.wasp
Title produced by softwareBoxplot and Trimmed Means
Date of computationTue, 21 Jan 2014 10:09:07 -0500
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/Jan/21/t13903170328trvewa1pxnkp9w.htm/, Retrieved Tue, 28 May 2024 12:27:28 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=233145, Retrieved Tue, 28 May 2024 12:27:28 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact201
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Boxplot and Trimmed Means] [PY2224 Descriptiv...] [2014-01-21 15:09:07] [a9208f4f8d3b118336aae915785f2bd9] [Current]
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Dataseries X:
3.478422188	91	47	46	188	91	162	3	100	112
3.456821348	41	45	19	188	135	43	3	39	101
3.498310554	77	40	53	162	97	88	9	37	91
3.442009159	52	45	56	171	77	58	2	30	83
3.455758203	67	45	57	158	123	74	4	36	81
3.586249639	91	39	9	153	68	51	4	29	78
3.352182518	36	45	53	174	99	139	3	41	77
3.487421211	50	45	20	184	0	33	6	10	72
3.42143939	49	45	63	182	140	95	4	35	70
3.308991029	38	45	14	161	0	63	4	40	70
3.291812687	56	40	2	131	2	54	4	43	69
3.3287872	50	45	32	165	135	54	3	31	69
3.331427297	43	45	41	188	158	55	3	26	68
3.321391278	41	46	71	171	87	69	2	33	67
3.244771761	32	45	36	191	160	107	4	50	65
3.464191371	41	39	46	148	13	43	3	17	64
3.372727941	41	45	22	169	44	55	3	59	63
3.378579576	28	45	20	181	25	60	5	18	63
3.280805928	39	45	72	189	32	44	3	22	61
3.333245699	40	45	70	186	53	36	3	21	61
3.229937686	37	45	40	172	12	46	2	22	60
3.235275877	63	40	45	154	22	44	4	21	59
3.39252109	42	45	18	168	5	45	4	20	59
3.512550993	43	46	64	165	42	36	3	18	59
3.299725154	31	45	48	180	152	75	38	16	58
3.354876423	16	49	23	137	0	54	6	30	58
3.255995727	38	45	65	180	0	77	4	27	58
3.230959556	24	45	41	190	62	31	31	2	57
3.228656958	43	41	12	154	0	54	4	20	56
3.344981414	37	45	40	175	29	46	3	19	56
3.38039216	43	41	14	155	104	41	3	18	55
3.24674471	34	47	46	194	137	54	3	23	55
3.341632336	32	45	15	170	173	65	2	34	54
3.418798291	69	46	38	167	192	75	3	24	54
3.345373731	64	47	32	178	38	43	4	16	54
3.366796383	30	45	13	167	10	51	4	21	53
3.277609214	45	45	6	157	46	61	3	31	53
3.250663919	47	48	78	185	122	44	3	23	53
3.456517858	58	47	78	174	141	57	5	17	53
3.23350376	51	46	49	186	184	74	2	32	52
3.368286885	25	36	26	137	0	42	4	15	52
3.292477594	45	42	11	158	0	55	6	21	52
3.405858399	41	45	31	173	113	31	3	20	51
3.380211242	41	41	24	109	0	38	3	29	51
3.379486814	43	46	21	173	67	56	4	21	50
3.45591024	22	45	16	154	2	39	3	13	50
3.347330015	30	45	48	163	84	35	3	21	49
3.277609214	31	46	35	165	23	25	4	12	49
3.140193679	26	45	61	190	0	36	3	20	48
3.188084374	45	45	44	184	84	50	4	12	47
3.503109437	24	41	12	176	0	14	NA	0	47
3.421603927	38	43	22	161	121	38	3	20	47
3.2929203	28	40	22	122	49	53	3	23	47
3.188647296	43	45	36	180	0	62	4	21	46
3.236789099	58	47	53	194	135	52	3	24	46
3.410777233	40	46	42	148	0	32	3	20	46
3.206556044	36	48	27	160	0	41	4	20	46
3.26599637	37	45	45	190	179	67	67	1	45
3.128722284	30	46	41	166	37	30	4	14	45
3.270911639	37	47	30	182	29	28	4	13	45
3.1430148	33	45	25	170	28	26	2	15	44
3.231724383	38	46	68	181	162	53	53	3	44
3.089551883	37	45	22	150	10	29	3	20	44
3.258397804	68	46	37	193	162	61	3	16	44
3.216957207	15	48	28	145	33	38	3	15	44
3.027349608	44	47	59	178	0	49	3	19	43
3.278524965	37	50	12	164	16	21	7	7	42
3.182414652	31	45	18	173	40	42	3	13	42
3.117602692	68	45	42	180	159	122	2	35	42
3.101747074	43	45	64	168	143	50	3	16	41
3.229937686	51	45	-10	53	72	34	4	16	41
3.154119526	35	45	21	190	0	30	3	17	41
3.214578954	41	45	15	181	0	47	4	17	41
3.211387553	28	43	18	135	1	19	6	4	41
3.284205068	37	45	5	163	13	66	3	21	40
3.201397124	31	45	37	185	15	51	3	15	40
3.113609151	28	46	17	153	0	28	4	16	40
3.162564407	34	45	41	160	0	36	3	14	40
3.245018871	53	45	38	158	0	26	3	12	40
3.2757719	25	40	30	170	115	50	5	13	40
3.108903128	8	34	35	110	20	16	3	7	40
3.112605002	32	45	10	90	31	24	3	15	39
3.202760687	27	36	14	113	1	38	4	15	38
3.317436497	36	45	34	182	140	55	4	14	38
3.05422991	29	47	8	85	0	26	3	21	38
3.102433706	23	32	13	121	24	28	2	17	38
3.114277297	42	41	16	133	0	15	2	18	38
3.314288661	20	44	31	167	67	27	9	3	37
3.1430148	21	49	6	156	19	36	3	20	37
3.153814864	35	48	52	128	7	25	3	16	37
3.288025535	42	39	38	173	49	20	3	9	37
3.190611798	34	39	31	140	9	44	3	21	37
3.215637563	43	45	40	160	0	28	3	11	36
3.177247836	26	47	37	162	157	33	4	13	36
3.14332713	39	45	42	169	53	47	4	12	35
3.080987047	35	46	12	152	0	40	3	16	35
3.253095586	37	45	99	183	169	93	NA	1	34
3.196176185	50	46	53	154	70	35	5	8	34
3.202215776	22	45	31	147	74	26	3	15	34
3.129689892	20	45	67	162	45	40	3	22	33
3.314499228	6	45	22	185	20	5	3	3	33
3.04453976	36	46	37	165	64	31	4	12	33
3.152288344	38	40	14	115	12	20	5	8	33
3.146748014	28	45	43	152	0	32	5	10	33
2.977266212	52	26	10	106	70	95	5	22	33
3.038620162	30	34	13	104	0	21	5	7	32
3.157456768	22	45	19	184	0	33	11	5	32
3.135450699	25	45	17	167	1	28	4	10	32
3.188365926	23	34	15	106	84	19	3	7	31
3.195899652	32	35	24	114	92	34	6	7	30
3.082426301	43	46	28	166	8	65	3	17	30
3.153509989	49	47	8	150	0	30	5	10	29
3.015359755	46	25	0	0	0	21	2	18	29
3.01911629	36	26	24	84	92	26	3	11	29
3.155639634	47	52	9	171	0	18	6	6	28
2.989449818	29	37	40	118	20	40	6	10	28
3.07773118	25	46	34	99	12	26	2	15	28
2.877946952	25	35	51	116	12	20	10	9	28
3.058805487	6	43	34	165	0	10	5	2	28
3.123524981	21	46	36	172	97	36	5	10	27
3.082426301	36	45	29	177	169	43	4	11	27
3.105169428	42	46	68	161	43	14	4	6	27
3.10002573	25	39	22	104	50	32	8	9	27
3.033021445	23	35	10	133	0	20	3	10	26
3.017867719	27	46	67	156	7	40	10	4	26
3.038222638	37	32	10	97	49	29	6	11	26
3.108565024	8	39	12	118	0	14	7	3	26
3.064457989	25	40	16	131	0	14	2	7	26
3.009875634	34	46	21	128	0	28	4	12	25
3.158362492	7	41	20	156	0	10	3	6	25
3.026124517	9	45	24	164	2	23	8	5	25
3.053462605	22	45	6	109	16	19	3	9	25
3.07773118	39	36	32	134	2	31	3	8	24
3.067442843	45	50	36	187	0	32	5	8	24
2.992111488	4	45	33	150	14	24	3	11	24
3.248953615	39	38	2	95	20	12	4	8	24
3.1430148	37	39	18	88	80	50	3	14	24
2.989894564	30	23	-5	75	29	26	3	11	23
2.948901761	20	31	28	122	5	26	2	10	23
2.923761961	18	40	20	66	0	14	NA	0	22
3.083860801	28	36	0	108	16	39	3	16	22
3.194236749	17	50	37	181	158	33	4	10	22
3.001300933	34	39	26	87	48	20	3	6	22
3.039017322	12	45	17	148	106	27	3	7	21
3.09482038	50	37	-2	89	0	26	3	12	20
3.058426024	13	15	-2	41	0	2	NA	1	19
3.046495164	9	25	8	43	1	8	2	5	19
2.952792443	15	30	13	81	0	9	5	5	17
2.918554531	32	30	-2	17	0	8	4	7	17
3.219322508	9	40	30	102	65	22	4	11	16
2.936010796	9	20	13	73	0	12	3	7	14
2.699837726	9	24	21	75	18	6	3	2	10
2.788168371	16	2	0	9	0	17	3	5	9
2.471291711	4	10	7	42	0	5	3	2	7
2.257678575	4	6	2	10	0	0	NA	0	3
2.152288344	1	0	0	0	0	0	NA	0	3
2.401400541	4	2	0	5	16	2	2	1	2
2.100370545	8	1	1	3	0	3	3	1	2
1.591064607	0	0	0	0	0	0	NA	0	1
1.716003344	1	0	0	0	0	0	NA	0	1




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time6 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net

\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 & 6 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=233145&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]6 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=233145&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=233145&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 time6 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net







Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
LogP2.793.083.193.33.59
B024.53542.569
PR30394545.552
PRR-101325.54178
LFM41117159173.5194
RPR002078.5192
KCS024355188
SPR23345
CH0814.52140
Hours127405283

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
LogP & 2.79 & 3.08 & 3.19 & 3.3 & 3.59 \tabularnewline
B & 0 & 24.5 & 35 & 42.5 & 69 \tabularnewline
PR & 30 & 39 & 45 & 45.5 & 52 \tabularnewline
PRR & -10 & 13 & 25.5 & 41 & 78 \tabularnewline
LFM & 41 & 117 & 159 & 173.5 & 194 \tabularnewline
RPR & 0 & 0 & 20 & 78.5 & 192 \tabularnewline
KCS & 0 & 24 & 35 & 51 & 88 \tabularnewline
SPR & 2 & 3 & 3 & 4 & 5 \tabularnewline
CH & 0 & 8 & 14.5 & 21 & 40 \tabularnewline
Hours & 1 & 27 & 40 & 52 & 83 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=233145&T=1

[TABLE]
[ROW][C]Boxplot statistics[/C][/ROW]
[ROW][C]Variable[/C][C]lower whisker[/C][C]lower hinge[/C][C]median[/C][C]upper hinge[/C][C]upper whisker[/C][/ROW]
[ROW][C]LogP[/C][C]2.79[/C][C]3.08[/C][C]3.19[/C][C]3.3[/C][C]3.59[/C][/ROW]
[ROW][C]B[/C][C]0[/C][C]24.5[/C][C]35[/C][C]42.5[/C][C]69[/C][/ROW]
[ROW][C]PR[/C][C]30[/C][C]39[/C][C]45[/C][C]45.5[/C][C]52[/C][/ROW]
[ROW][C]PRR[/C][C]-10[/C][C]13[/C][C]25.5[/C][C]41[/C][C]78[/C][/ROW]
[ROW][C]LFM[/C][C]41[/C][C]117[/C][C]159[/C][C]173.5[/C][C]194[/C][/ROW]
[ROW][C]RPR[/C][C]0[/C][C]0[/C][C]20[/C][C]78.5[/C][C]192[/C][/ROW]
[ROW][C]KCS[/C][C]0[/C][C]24[/C][C]35[/C][C]51[/C][C]88[/C][/ROW]
[ROW][C]SPR[/C][C]2[/C][C]3[/C][C]3[/C][C]4[/C][C]5[/C][/ROW]
[ROW][C]CH[/C][C]0[/C][C]8[/C][C]14.5[/C][C]21[/C][C]40[/C][/ROW]
[ROW][C]Hours[/C][C]1[/C][C]27[/C][C]40[/C][C]52[/C][C]83[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=233145&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=233145&T=1

As an alternative you can also use a QR Code:  

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

Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
LogP2.793.083.193.33.59
B024.53542.569
PR30394545.552
PRR-101325.54178
LFM41117159173.5194
RPR002078.5192
KCS024355188
SPR23345
CH0814.52140
Hours127405283







Boxplot Notches
Variablelower boundmedianupper bound
LogP3.173.193.22
B32.753537.25
PR44.194545.81
PRR2225.529
LFM151.94159166.06
RPR10.192029.81
KCS31.633538.37
SPR2.8733.13
CH12.8814.516.12
Hours36.884043.12

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
LogP & 3.17 & 3.19 & 3.22 \tabularnewline
B & 32.75 & 35 & 37.25 \tabularnewline
PR & 44.19 & 45 & 45.81 \tabularnewline
PRR & 22 & 25.5 & 29 \tabularnewline
LFM & 151.94 & 159 & 166.06 \tabularnewline
RPR & 10.19 & 20 & 29.81 \tabularnewline
KCS & 31.63 & 35 & 38.37 \tabularnewline
SPR & 2.87 & 3 & 3.13 \tabularnewline
CH & 12.88 & 14.5 & 16.12 \tabularnewline
Hours & 36.88 & 40 & 43.12 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=233145&T=2

[TABLE]
[ROW][C]Boxplot Notches[/C][/ROW]
[ROW][C]Variable[/C][C]lower bound[/C][C]median[/C][C]upper bound[/C][/ROW]
[ROW][C]LogP[/C][C]3.17[/C][C]3.19[/C][C]3.22[/C][/ROW]
[ROW][C]B[/C][C]32.75[/C][C]35[/C][C]37.25[/C][/ROW]
[ROW][C]PR[/C][C]44.19[/C][C]45[/C][C]45.81[/C][/ROW]
[ROW][C]PRR[/C][C]22[/C][C]25.5[/C][C]29[/C][/ROW]
[ROW][C]LFM[/C][C]151.94[/C][C]159[/C][C]166.06[/C][/ROW]
[ROW][C]RPR[/C][C]10.19[/C][C]20[/C][C]29.81[/C][/ROW]
[ROW][C]KCS[/C][C]31.63[/C][C]35[/C][C]38.37[/C][/ROW]
[ROW][C]SPR[/C][C]2.87[/C][C]3[/C][C]3.13[/C][/ROW]
[ROW][C]CH[/C][C]12.88[/C][C]14.5[/C][C]16.12[/C][/ROW]
[ROW][C]Hours[/C][C]36.88[/C][C]40[/C][C]43.12[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=233145&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=233145&T=2

As an alternative you can also use a QR Code:  

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

Boxplot Notches
Variablelower boundmedianupper bound
LogP3.173.193.22
B32.753537.25
PR44.194545.81
PRR2225.529
LFM151.94159166.06
RPR10.192029.81
KCS31.633538.37
SPR2.8733.13
CH12.8814.516.12
Hours36.884043.12







Boxplot Means
Variabletrimmed meanunbiased SD
LogP3.150.28
B33.6816.38
PR40.310.62
PRR28.6620.35
LFM141.0948.35
RPR45.8455.34
KCS38.7725.06
SPR4.977.5
CH15.8112.42
Hours40.4818.93

\begin{tabular}{lllllllll}
\hline
Boxplot Means \tabularnewline
Variable & trimmed mean & unbiased SD \tabularnewline
LogP & 3.15 & 0.28 \tabularnewline
B & 33.68 & 16.38 \tabularnewline
PR & 40.3 & 10.62 \tabularnewline
PRR & 28.66 & 20.35 \tabularnewline
LFM & 141.09 & 48.35 \tabularnewline
RPR & 45.84 & 55.34 \tabularnewline
KCS & 38.77 & 25.06 \tabularnewline
SPR & 4.97 & 7.5 \tabularnewline
CH & 15.81 & 12.42 \tabularnewline
Hours & 40.48 & 18.93 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=233145&T=3

[TABLE]
[ROW][C]Boxplot Means[/C][/ROW]
[ROW][C]Variable[/C][C]trimmed mean[/C][C]unbiased SD[/C][/ROW]
[ROW][C]LogP[/C][C]3.15[/C][C]0.28[/C][/ROW]
[ROW][C]B[/C][C]33.68[/C][C]16.38[/C][/ROW]
[ROW][C]PR[/C][C]40.3[/C][C]10.62[/C][/ROW]
[ROW][C]PRR[/C][C]28.66[/C][C]20.35[/C][/ROW]
[ROW][C]LFM[/C][C]141.09[/C][C]48.35[/C][/ROW]
[ROW][C]RPR[/C][C]45.84[/C][C]55.34[/C][/ROW]
[ROW][C]KCS[/C][C]38.77[/C][C]25.06[/C][/ROW]
[ROW][C]SPR[/C][C]4.97[/C][C]7.5[/C][/ROW]
[ROW][C]CH[/C][C]15.81[/C][C]12.42[/C][/ROW]
[ROW][C]Hours[/C][C]40.48[/C][C]18.93[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=233145&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=233145&T=3

As an alternative you can also use a QR Code:  

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

Boxplot Means
Variabletrimmed meanunbiased SD
LogP3.150.28
B33.6816.38
PR40.310.62
PRR28.6620.35
LFM141.0948.35
RPR45.8455.34
KCS38.7725.06
SPR4.977.5
CH15.8112.42
Hours40.4818.93



Parameters (Session):
par1 = 3 ; par2 = TRUE ; par3 = 0 ;
Parameters (R input):
par1 = 3 ; par2 = TRUE ; par3 = 0 ;
R code (references can be found in the software module):
par3 <- '0'
par2 <- 'TRUE'
par1 <- '3'
par1 <- as.numeric(par1) #colour
par2<- as.logical(par2) # Notches ?
par3<-as.numeric(par3) # % trim
if(par3>45){par3<-45;warning('trim limited to 45%')}
if(par3<0){par3<-0;warning('negative trim makes no sense. Trim is zero.')}
lotrm<-as.integer(length(y[1,])*par3/100)+1
hitrm<-as.integer(length(y[1,])*(100-par3)/100)
y1<-array(dim=c(dim(y)[1], hitrm-lotrm+1), dimnames=list(dimnames(y)[[1]], 1:(hitrm-lotrm+1) ))
for(i in 1:dim(y)[1]){
tmp<-order(y[i,])
y1[i,]<- y[i, tmp[lotrm:hitrm] ]
}
bitmap(file='test2.png')
pairs(t(y))
dev.off()
y<-y1
z <- as.data.frame(t(y))
bitmap(file='test1.png')
(r<-boxplot(z ,xlab=xlab,ylab=ylab,main=main,notch=par2,col=par1))
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,hyperlink('overview.htm','Boxplot statistics','Boxplot overview'),6,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variable',1,TRUE)
a<-table.element(a,hyperlink('lower_whisker.htm','lower whisker','definition of lower whisker'),1,TRUE)
a<-table.element(a,hyperlink('lower_hinge.htm','lower hinge','definition of lower hinge'),1,TRUE)
a<-table.element(a,hyperlink('central_tendency.htm','median','definitions about measures of central tendency'),1,TRUE)
a<-table.element(a,hyperlink('upper_hinge.htm','upper hinge','definition of upper hinge'),1,TRUE)
a<-table.element(a,hyperlink('upper_whisker.htm','upper whisker','definition of upper whisker'),1,TRUE)
a<-table.row.end(a)
for (i in 1:length(y[,1]))
{
a<-table.row.start(a)
a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE)
for (j in 1:5)
{
a<-table.element(a,round(r$stats[j,i], digits=2))
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
if (par2){
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Boxplot Notches',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variable',1,TRUE)
a<-table.element(a,'lower bound',1,TRUE)
a<-table.element(a,'median',1,TRUE)
a<-table.element(a,'upper bound',1,TRUE)
a<-table.row.end(a)
for (i in 1:length(y[,1]))
{
a<-table.row.start(a)
a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE)
a<-table.element(a,round(r$conf[1,i], digits=2))
a<-table.element(a, round(r$stats[3,i], digits=2))
a<-table.element(a,round(r$conf[2,i], digits=2))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')
}
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Boxplot Means',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variable',1,TRUE)
a<-table.element(a,hyperlink('trimmed_mean.htm','trimmed mean','definition of trimmed mean'),1,TRUE)
a<-table.element(a,hyperlink('unbiased1.htm','unbiased SD','definition of unbiased SD'),1,TRUE)
a<-table.row.end(a)
for (i in 1:length(y[,1]))
{
a<-table.row.start(a)
a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE)
a<-table.element(a,round(mean(unlist(z[i]), trim=par3/100, na.rm=TRUE), digits=2))
a<-table.element(a,round(sd(unlist(z[i]), na.rm=TRUE), digits=2))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')