Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationWed, 14 Oct 2009 06:30:41 -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/2009/Oct/14/t12555236581vxehbank4xflvt.htm/, Retrieved Sat, 04 May 2024 21:21:44 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=46408, Retrieved Sat, 04 May 2024 21:21:44 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W22
Estimated Impact146
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [Prijs sigaretten] [2009-10-14 11:44:50] [0b5dbef2a69e66c3cd955099fa0254b9]
- RMPD    [Histogram] [Frequentietabel p...] [2009-10-14 12:30:41] [0cda2352ee2e5e35cb801720440e3e1a] [Current]
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Dataseries X:
3,27
3,27
3,27
3,27
3,27
3,28
3,32
3,34
3,34
3,35
3,35
3,35
3,35
3,35
3,4
3,42
3,42
3,42
3,42
3,42
3,42
3,42
3,42
3,42
3,42
3,42
3,43
3,47
3,51
3,52
3,52
3,52
3,52
3,52
3,52
3,52
3,52
3,52
3,58
3,6
3,61
3,61
3,61
3,63
3,68
3,69
3,69
3,69
3,69
3,69
3,69
3,69
3,69
3,78
3,79
3,79
3,8
3,8
3,8
3,8
3,81
3,95
3,99
4
4,06
4,16
4,19
4,2
4,2
4,2
4,2
4,2
4,23
4,38
4,43
4,44
4,44
4,44
4,44
4,44
4,45
4,45
4,45
4,45
4,45
4,45
4,45
4,45
4,46
4,46
4,46
4,48
4,58
4,67
4,68
4,68
4,69
4,69
4,69
4,69
4,69
4,69
4,69
4,73
4,78
4,79
4,79
4,8
4,8
4,81
5,16
5,26
5,29
5,29
5,29
5,3
5,3
5,3
5,3
5,3
5,3
5,3
5,3
5,35
5,44
5,47
5,47
5,48
5,48
5,48
5,48
5,48
5,48




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=46408&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=46408&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=46408&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
[3.2,3.4[3.3140.1052630.1052630.526316
[3.4,3.6[3.5250.187970.2932330.93985
[3.6,3.8[3.7170.127820.4210530.639098
[3.8,4[3.970.0526320.4736840.263158
[4,4.2[4.140.0300750.5037590.150376
[4.2,4.4[4.370.0526320.5563910.263158
[4.4,4.6[4.5190.1428570.6992480.714286
[4.6,4.8[4.7140.1052630.8045110.526316
[4.8,5[4.930.0225560.8270680.112782
[5,5.2[5.110.0075190.8345860.037594
[5.2,5.4[5.3130.0977440.9323310.488722
[5.4,5.6]5.590.06766910.338346

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[3.2,3.4[ & 3.3 & 14 & 0.105263 & 0.105263 & 0.526316 \tabularnewline
[3.4,3.6[ & 3.5 & 25 & 0.18797 & 0.293233 & 0.93985 \tabularnewline
[3.6,3.8[ & 3.7 & 17 & 0.12782 & 0.421053 & 0.639098 \tabularnewline
[3.8,4[ & 3.9 & 7 & 0.052632 & 0.473684 & 0.263158 \tabularnewline
[4,4.2[ & 4.1 & 4 & 0.030075 & 0.503759 & 0.150376 \tabularnewline
[4.2,4.4[ & 4.3 & 7 & 0.052632 & 0.556391 & 0.263158 \tabularnewline
[4.4,4.6[ & 4.5 & 19 & 0.142857 & 0.699248 & 0.714286 \tabularnewline
[4.6,4.8[ & 4.7 & 14 & 0.105263 & 0.804511 & 0.526316 \tabularnewline
[4.8,5[ & 4.9 & 3 & 0.022556 & 0.827068 & 0.112782 \tabularnewline
[5,5.2[ & 5.1 & 1 & 0.007519 & 0.834586 & 0.037594 \tabularnewline
[5.2,5.4[ & 5.3 & 13 & 0.097744 & 0.932331 & 0.488722 \tabularnewline
[5.4,5.6] & 5.5 & 9 & 0.067669 & 1 & 0.338346 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=46408&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][3.2,3.4[[/C][C]3.3[/C][C]14[/C][C]0.105263[/C][C]0.105263[/C][C]0.526316[/C][/ROW]
[ROW][C][3.4,3.6[[/C][C]3.5[/C][C]25[/C][C]0.18797[/C][C]0.293233[/C][C]0.93985[/C][/ROW]
[ROW][C][3.6,3.8[[/C][C]3.7[/C][C]17[/C][C]0.12782[/C][C]0.421053[/C][C]0.639098[/C][/ROW]
[ROW][C][3.8,4[[/C][C]3.9[/C][C]7[/C][C]0.052632[/C][C]0.473684[/C][C]0.263158[/C][/ROW]
[ROW][C][4,4.2[[/C][C]4.1[/C][C]4[/C][C]0.030075[/C][C]0.503759[/C][C]0.150376[/C][/ROW]
[ROW][C][4.2,4.4[[/C][C]4.3[/C][C]7[/C][C]0.052632[/C][C]0.556391[/C][C]0.263158[/C][/ROW]
[ROW][C][4.4,4.6[[/C][C]4.5[/C][C]19[/C][C]0.142857[/C][C]0.699248[/C][C]0.714286[/C][/ROW]
[ROW][C][4.6,4.8[[/C][C]4.7[/C][C]14[/C][C]0.105263[/C][C]0.804511[/C][C]0.526316[/C][/ROW]
[ROW][C][4.8,5[[/C][C]4.9[/C][C]3[/C][C]0.022556[/C][C]0.827068[/C][C]0.112782[/C][/ROW]
[ROW][C][5,5.2[[/C][C]5.1[/C][C]1[/C][C]0.007519[/C][C]0.834586[/C][C]0.037594[/C][/ROW]
[ROW][C][5.2,5.4[[/C][C]5.3[/C][C]13[/C][C]0.097744[/C][C]0.932331[/C][C]0.488722[/C][/ROW]
[ROW][C][5.4,5.6][/C][C]5.5[/C][C]9[/C][C]0.067669[/C][C]1[/C][C]0.338346[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=46408&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=46408&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
[3.2,3.4[3.3140.1052630.1052630.526316
[3.4,3.6[3.5250.187970.2932330.93985
[3.6,3.8[3.7170.127820.4210530.639098
[3.8,4[3.970.0526320.4736840.263158
[4,4.2[4.140.0300750.5037590.150376
[4.2,4.4[4.370.0526320.5563910.263158
[4.4,4.6[4.5190.1428570.6992480.714286
[4.6,4.8[4.7140.1052630.8045110.526316
[4.8,5[4.930.0225560.8270680.112782
[5,5.2[5.110.0075190.8345860.037594
[5.2,5.4[5.3130.0977440.9323310.488722
[5.4,5.6]5.590.06766910.338346



Parameters (Session):
par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = ; par2 = grey ; 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')