Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationMon, 20 Oct 2008 14:59:44 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Oct/20/t1224536453q4jzdbo94f9nyyb.htm/, Retrieved Sun, 19 May 2024 13:04:21 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=18146, Retrieved Sun, 19 May 2024 13:04:21 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact117
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F       [Histogram] [Histogram tijdree...] [2008-10-20 20:59:44] [e81ac192d6ae6d77191d83851a692999] [Current]
Feedback Forum
2008-10-24 12:25:44 [Kim Wester] [reply
Correct, maar ook hier had (net als bij de vorige 3 histogrammen) de titel kunnen worden aangepast. Evenals de x-as. Nu is niet af te lezen van welke waarden er sprake is.

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Dataseries X:
459191
466617
477604
482132
488837
490761
495016
491156
502519
509405
516184
525109
536953
543315
554950
574343
600423
605963
605672
626140
650740
644045
659971
677720
685500
692880
713398
726815
726448
722721
712776
707154
721030
698097
697694
696268
669371
642615
639078
632034
651048
652996
651578
672179
684741
685734
691557
717499
739340
760643
769425
790364
782748
799182
817333
834295
851736
849382
838158
817005




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=18146&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=18146&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18146&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[450000,5e+05[47500080.1333330.1333333e-06
[5e+05,550000[52500060.10.2333332e-06
[550000,6e+05[57500020.0333330.2666671e-06
[6e+05,650000[62500080.1333330.43e-06
[650000,7e+05[675000160.2666670.6666675e-06
[7e+05,750000[72500090.150.8166673e-06
[750000,8e+05[77500050.0833330.92e-06
[8e+05,850000[82500050.0833330.9833332e-06
[850000,9e+05]87500010.01666710

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[450000,5e+05[ & 475000 & 8 & 0.133333 & 0.133333 & 3e-06 \tabularnewline
[5e+05,550000[ & 525000 & 6 & 0.1 & 0.233333 & 2e-06 \tabularnewline
[550000,6e+05[ & 575000 & 2 & 0.033333 & 0.266667 & 1e-06 \tabularnewline
[6e+05,650000[ & 625000 & 8 & 0.133333 & 0.4 & 3e-06 \tabularnewline
[650000,7e+05[ & 675000 & 16 & 0.266667 & 0.666667 & 5e-06 \tabularnewline
[7e+05,750000[ & 725000 & 9 & 0.15 & 0.816667 & 3e-06 \tabularnewline
[750000,8e+05[ & 775000 & 5 & 0.083333 & 0.9 & 2e-06 \tabularnewline
[8e+05,850000[ & 825000 & 5 & 0.083333 & 0.983333 & 2e-06 \tabularnewline
[850000,9e+05] & 875000 & 1 & 0.016667 & 1 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=18146&T=1

[TABLE]
[ROW][C]Frequency Table (Histogram)[/C][/ROW]
[ROW][C]Bins[/C][C]Midpoint[/C][C]Abs. Frequency[/C][C]Rel. Frequency[/C][C]Cumul. Rel. Freq.[/C][C]Density[/C][/ROW]
[ROW][C][450000,5e+05[[/C][C]475000[/C][C]8[/C][C]0.133333[/C][C]0.133333[/C][C]3e-06[/C][/ROW]
[ROW][C][5e+05,550000[[/C][C]525000[/C][C]6[/C][C]0.1[/C][C]0.233333[/C][C]2e-06[/C][/ROW]
[ROW][C][550000,6e+05[[/C][C]575000[/C][C]2[/C][C]0.033333[/C][C]0.266667[/C][C]1e-06[/C][/ROW]
[ROW][C][6e+05,650000[[/C][C]625000[/C][C]8[/C][C]0.133333[/C][C]0.4[/C][C]3e-06[/C][/ROW]
[ROW][C][650000,7e+05[[/C][C]675000[/C][C]16[/C][C]0.266667[/C][C]0.666667[/C][C]5e-06[/C][/ROW]
[ROW][C][7e+05,750000[[/C][C]725000[/C][C]9[/C][C]0.15[/C][C]0.816667[/C][C]3e-06[/C][/ROW]
[ROW][C][750000,8e+05[[/C][C]775000[/C][C]5[/C][C]0.083333[/C][C]0.9[/C][C]2e-06[/C][/ROW]
[ROW][C][8e+05,850000[[/C][C]825000[/C][C]5[/C][C]0.083333[/C][C]0.983333[/C][C]2e-06[/C][/ROW]
[ROW][C][850000,9e+05][/C][C]875000[/C][C]1[/C][C]0.016667[/C][C]1[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=18146&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18146&T=1

As an alternative you can also use a QR Code:  

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

Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[450000,5e+05[47500080.1333330.1333333e-06
[5e+05,550000[52500060.10.2333332e-06
[550000,6e+05[57500020.0333330.2666671e-06
[6e+05,650000[62500080.1333330.43e-06
[650000,7e+05[675000160.2666670.6666675e-06
[7e+05,750000[72500090.150.8166673e-06
[750000,8e+05[77500050.0833330.92e-06
[8e+05,850000[82500050.0833330.9833332e-06
[850000,9e+05]87500010.01666710



Parameters (Session):
par2 = yellow ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = ; par2 = yellow ; par3 = FALSE ; par4 = Unknown ;
R code (references can be found in the software module):
par1 <- as.numeric(par1)
if (par3 == 'TRUE') par3 <- TRUE
if (par3 == 'FALSE') par3 <- FALSE
if (par4 == 'Unknown') par1 <- as.numeric(par1)
if (par4 == 'Interval/Ratio') par1 <- as.numeric(par1)
if (par4 == '3-point Likert') par1 <- c(1:3 - 0.5, 3.5)
if (par4 == '4-point Likert') par1 <- c(1:4 - 0.5, 4.5)
if (par4 == '5-point Likert') par1 <- c(1:5 - 0.5, 5.5)
if (par4 == '6-point Likert') par1 <- c(1:6 - 0.5, 6.5)
if (par4 == '7-point Likert') par1 <- c(1:7 - 0.5, 7.5)
if (par4 == '8-point Likert') par1 <- c(1:8 - 0.5, 8.5)
if (par4 == '9-point Likert') par1 <- c(1:9 - 0.5, 9.5)
if (par4 == '10-point Likert') par1 <- c(1:10 - 0.5, 10.5)
bitmap(file='test1.png')
if (is.na(par1)) {
myhist<-hist(x,col=par2,main=main,xlab=xlab,right=par3)
} else {
if (par1 < 0) par1 <- 3
if (par1 > 50) par1 <- 50
myhist<-hist(x,breaks=par1,col=par2,main=main,xlab=xlab,right=par3)
}
dev.off()
myhist
n <- length(x)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,hyperlink('histogram.htm','Frequency Table (Histogram)',''),6,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Bins',header=TRUE)
a<-table.element(a,'Midpoint',header=TRUE)
a<-table.element(a,'Abs. Frequency',header=TRUE)
a<-table.element(a,'Rel. Frequency',header=TRUE)
a<-table.element(a,'Cumul. Rel. Freq.',header=TRUE)
a<-table.element(a,'Density',header=TRUE)
a<-table.row.end(a)
crf <- 0
if (par3 == FALSE) mybracket <- '[' else mybracket <- ']'
mynumrows <- (length(myhist$breaks)-1)
for (i in 1:mynumrows) {
a<-table.row.start(a)
if (i == 1)
dum <- paste('[',myhist$breaks[i],sep='')
else
dum <- paste(mybracket,myhist$breaks[i],sep='')
dum <- paste(dum,myhist$breaks[i+1],sep=',')
if (i==mynumrows)
dum <- paste(dum,']',sep='')
else
dum <- paste(dum,mybracket,sep='')
a<-table.element(a,dum,header=TRUE)
a<-table.element(a,myhist$mids[i])
a<-table.element(a,myhist$counts[i])
rf <- myhist$counts[i]/n
crf <- crf + rf
a<-table.element(a,round(rf,6))
a<-table.element(a,round(crf,6))
a<-table.element(a,round(myhist$density[i],6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')