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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationFri, 16 Dec 2011 06:59:28 -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/2011/Dec/16/t1324036811v1a64p1z8harloz.htm/, Retrieved Sun, 05 May 2024 18:28:38 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=155834, Retrieved Sun, 05 May 2024 18:28:38 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact64
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Histogram / Freq....] [2011-12-16 11:59:28] [10a6f28c51bb1cb94db47cee32729d66] [Current]
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Dataseries X:
0.69
0.81
0.49
0.54
0.64
0.81
0.51
0.21
0.21
0.64
0.52
0.61
0.44
0.44
0.36
0.53
0.47
0.59
0.48
0.70
0.52
0.56
0.37
0.64
0.59
0.49
0.57
0.58
0.59
0.43
0.81
0.70
0.48
0.63
0.32
0.58
0.65
0.40
0.49
0.27
0.51
0.55
0.33
0.51
0.45
0.46
0.29
0.71
0.42
0.67
0.22
0.72
0.51
0.58
0.58
0.76
0.62
0.47
0.39
0.45
0.47
0.66
0.46
0.43
0.70
0.68
0.29
0.58
0.78
0.43
0.46
0.66
0.67
0.50
0.58
0.45
0.62
0.48
0.32
0.48
0.50
0.51
0.34
0.54
0.70
0.49
0.45
0.51
0.38
0.47
0.55
0.69
0.20
0.59
0.51
0.37
0.54
0.49
0.43
0.53
0.51
0.35
0.50
0.58
0.75
0.78
0.55
0.37
0.60
0.45
0.72
0.44
0.45
0.49
0.70
0.54
0.50
0.38
1.54
0.32
0.48
0.37
0.38
0.68
0.65
0.46
0.41
0.50
0.43
0.25
0.06
0.55
0.40
0.36
0.42
0.66
0.31
0.55
0.51
0.42
0.39
0.55
0.11
0.58
0.37
0.22
0.16
0.62
0.37
0.43
0.49
0.65
0.42
0.52
0.72
0.61
0.63
0.32
0.64
0.34
0.49
0.08
0.41
0.38
0.41
0.63
0.52
0.32
0.67
0.36
0.34
0.57
0.06
0.47
0.56
0.42
0.61
0.28
0.62
0.39
0.32
0.21
0.54
0.49
0.54
0.59
0.46
0.44
0.50
0.15
0.35
0.31
0.37
0.37
0.69
0.35
0.37
0.55
0.41
0.39
0.48
0.34
0.27
0.51
0.32
0.30
0.33
0.37
0.35
0.43
0.48
0.29
0.41
0.56
0.13
0.39
0.49
0.57
0.58
0.40
0.53
0.91
0.45
0.64
0.13
0.33
0.45
0.44
0.23
0.39
0.15
0.52
0.74
0.44
0.39
0.40
0.26
0.59
0.44
0.28
0.43
0.44
0.38
0.39
0.52
0.48
0.47
0.46
0.25
0.68
0.42
0.50
0.50
0.25
0.37
0.11
0.62
0.24
0.37
0.55
0.08
0.50
0.09
0.45
0.37
0.48
0.45
0.36
0.42
0.49
0.29
0.39
0.00
0.40
0.39
0.21
0.10
0.50
0.50
0.32
0.28
0.23
0.22
0.15
0.29
0.25
0.19
0.60
0.49




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R Server'Gertrude Mary Cox' @ cox.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 & 0 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155834&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]0 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=155834&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155834&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 time0 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[0,0.05[0.02510.003460.003460.069204
[0.05,0.1[0.07550.0173010.0207610.346021
[0.1,0.15[0.12550.0173010.0380620.346021
[0.15,0.2[0.17550.0173010.0553630.346021
[0.2,0.25[0.225110.0380620.0934260.761246
[0.25,0.3[0.275150.0519030.1453291.038062
[0.3,0.35[0.325180.0622840.2076121.245675
[0.35,0.4[0.375360.1245670.332182.491349
[0.4,0.45[0.425330.1141870.4463672.283737
[0.45,0.5[0.475430.1487890.5951562.975779
[0.5,0.55[0.525360.1245670.7197232.491349
[0.55,0.6[0.575290.1003460.8200692.00692
[0.6,0.65[0.625180.0622840.8823531.245675
[0.65,0.7[0.675150.0519030.9342561.038062
[0.7,0.75[0.725100.0346020.9688580.692042
[0.75,0.8[0.77540.0138410.9826990.276817
[0.8,0.85[0.82530.0103810.993080.207612
[0.85,0.9[0.875000.993080
[0.9,0.95[0.92510.003460.996540.069204
[0.95,1[0.975000.996540
[1,1.05[1.025000.996540
[1.05,1.1[1.075000.996540
[1.1,1.15[1.125000.996540
[1.15,1.2[1.175000.996540
[1.2,1.25[1.225000.996540
[1.25,1.3[1.275000.996540
[1.3,1.35[1.325000.996540
[1.35,1.4[1.375000.996540
[1.4,1.45[1.425000.996540
[1.45,1.5[1.475000.996540
[1.5,1.55]1.52510.0034610.069204

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0,0.05[ & 0.025 & 1 & 0.00346 & 0.00346 & 0.069204 \tabularnewline
[0.05,0.1[ & 0.075 & 5 & 0.017301 & 0.020761 & 0.346021 \tabularnewline
[0.1,0.15[ & 0.125 & 5 & 0.017301 & 0.038062 & 0.346021 \tabularnewline
[0.15,0.2[ & 0.175 & 5 & 0.017301 & 0.055363 & 0.346021 \tabularnewline
[0.2,0.25[ & 0.225 & 11 & 0.038062 & 0.093426 & 0.761246 \tabularnewline
[0.25,0.3[ & 0.275 & 15 & 0.051903 & 0.145329 & 1.038062 \tabularnewline
[0.3,0.35[ & 0.325 & 18 & 0.062284 & 0.207612 & 1.245675 \tabularnewline
[0.35,0.4[ & 0.375 & 36 & 0.124567 & 0.33218 & 2.491349 \tabularnewline
[0.4,0.45[ & 0.425 & 33 & 0.114187 & 0.446367 & 2.283737 \tabularnewline
[0.45,0.5[ & 0.475 & 43 & 0.148789 & 0.595156 & 2.975779 \tabularnewline
[0.5,0.55[ & 0.525 & 36 & 0.124567 & 0.719723 & 2.491349 \tabularnewline
[0.55,0.6[ & 0.575 & 29 & 0.100346 & 0.820069 & 2.00692 \tabularnewline
[0.6,0.65[ & 0.625 & 18 & 0.062284 & 0.882353 & 1.245675 \tabularnewline
[0.65,0.7[ & 0.675 & 15 & 0.051903 & 0.934256 & 1.038062 \tabularnewline
[0.7,0.75[ & 0.725 & 10 & 0.034602 & 0.968858 & 0.692042 \tabularnewline
[0.75,0.8[ & 0.775 & 4 & 0.013841 & 0.982699 & 0.276817 \tabularnewline
[0.8,0.85[ & 0.825 & 3 & 0.010381 & 0.99308 & 0.207612 \tabularnewline
[0.85,0.9[ & 0.875 & 0 & 0 & 0.99308 & 0 \tabularnewline
[0.9,0.95[ & 0.925 & 1 & 0.00346 & 0.99654 & 0.069204 \tabularnewline
[0.95,1[ & 0.975 & 0 & 0 & 0.99654 & 0 \tabularnewline
[1,1.05[ & 1.025 & 0 & 0 & 0.99654 & 0 \tabularnewline
[1.05,1.1[ & 1.075 & 0 & 0 & 0.99654 & 0 \tabularnewline
[1.1,1.15[ & 1.125 & 0 & 0 & 0.99654 & 0 \tabularnewline
[1.15,1.2[ & 1.175 & 0 & 0 & 0.99654 & 0 \tabularnewline
[1.2,1.25[ & 1.225 & 0 & 0 & 0.99654 & 0 \tabularnewline
[1.25,1.3[ & 1.275 & 0 & 0 & 0.99654 & 0 \tabularnewline
[1.3,1.35[ & 1.325 & 0 & 0 & 0.99654 & 0 \tabularnewline
[1.35,1.4[ & 1.375 & 0 & 0 & 0.99654 & 0 \tabularnewline
[1.4,1.45[ & 1.425 & 0 & 0 & 0.99654 & 0 \tabularnewline
[1.45,1.5[ & 1.475 & 0 & 0 & 0.99654 & 0 \tabularnewline
[1.5,1.55] & 1.525 & 1 & 0.00346 & 1 & 0.069204 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155834&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][0,0.05[[/C][C]0.025[/C][C]1[/C][C]0.00346[/C][C]0.00346[/C][C]0.069204[/C][/ROW]
[ROW][C][0.05,0.1[[/C][C]0.075[/C][C]5[/C][C]0.017301[/C][C]0.020761[/C][C]0.346021[/C][/ROW]
[ROW][C][0.1,0.15[[/C][C]0.125[/C][C]5[/C][C]0.017301[/C][C]0.038062[/C][C]0.346021[/C][/ROW]
[ROW][C][0.15,0.2[[/C][C]0.175[/C][C]5[/C][C]0.017301[/C][C]0.055363[/C][C]0.346021[/C][/ROW]
[ROW][C][0.2,0.25[[/C][C]0.225[/C][C]11[/C][C]0.038062[/C][C]0.093426[/C][C]0.761246[/C][/ROW]
[ROW][C][0.25,0.3[[/C][C]0.275[/C][C]15[/C][C]0.051903[/C][C]0.145329[/C][C]1.038062[/C][/ROW]
[ROW][C][0.3,0.35[[/C][C]0.325[/C][C]18[/C][C]0.062284[/C][C]0.207612[/C][C]1.245675[/C][/ROW]
[ROW][C][0.35,0.4[[/C][C]0.375[/C][C]36[/C][C]0.124567[/C][C]0.33218[/C][C]2.491349[/C][/ROW]
[ROW][C][0.4,0.45[[/C][C]0.425[/C][C]33[/C][C]0.114187[/C][C]0.446367[/C][C]2.283737[/C][/ROW]
[ROW][C][0.45,0.5[[/C][C]0.475[/C][C]43[/C][C]0.148789[/C][C]0.595156[/C][C]2.975779[/C][/ROW]
[ROW][C][0.5,0.55[[/C][C]0.525[/C][C]36[/C][C]0.124567[/C][C]0.719723[/C][C]2.491349[/C][/ROW]
[ROW][C][0.55,0.6[[/C][C]0.575[/C][C]29[/C][C]0.100346[/C][C]0.820069[/C][C]2.00692[/C][/ROW]
[ROW][C][0.6,0.65[[/C][C]0.625[/C][C]18[/C][C]0.062284[/C][C]0.882353[/C][C]1.245675[/C][/ROW]
[ROW][C][0.65,0.7[[/C][C]0.675[/C][C]15[/C][C]0.051903[/C][C]0.934256[/C][C]1.038062[/C][/ROW]
[ROW][C][0.7,0.75[[/C][C]0.725[/C][C]10[/C][C]0.034602[/C][C]0.968858[/C][C]0.692042[/C][/ROW]
[ROW][C][0.75,0.8[[/C][C]0.775[/C][C]4[/C][C]0.013841[/C][C]0.982699[/C][C]0.276817[/C][/ROW]
[ROW][C][0.8,0.85[[/C][C]0.825[/C][C]3[/C][C]0.010381[/C][C]0.99308[/C][C]0.207612[/C][/ROW]
[ROW][C][0.85,0.9[[/C][C]0.875[/C][C]0[/C][C]0[/C][C]0.99308[/C][C]0[/C][/ROW]
[ROW][C][0.9,0.95[[/C][C]0.925[/C][C]1[/C][C]0.00346[/C][C]0.99654[/C][C]0.069204[/C][/ROW]
[ROW][C][0.95,1[[/C][C]0.975[/C][C]0[/C][C]0[/C][C]0.99654[/C][C]0[/C][/ROW]
[ROW][C][1,1.05[[/C][C]1.025[/C][C]0[/C][C]0[/C][C]0.99654[/C][C]0[/C][/ROW]
[ROW][C][1.05,1.1[[/C][C]1.075[/C][C]0[/C][C]0[/C][C]0.99654[/C][C]0[/C][/ROW]
[ROW][C][1.1,1.15[[/C][C]1.125[/C][C]0[/C][C]0[/C][C]0.99654[/C][C]0[/C][/ROW]
[ROW][C][1.15,1.2[[/C][C]1.175[/C][C]0[/C][C]0[/C][C]0.99654[/C][C]0[/C][/ROW]
[ROW][C][1.2,1.25[[/C][C]1.225[/C][C]0[/C][C]0[/C][C]0.99654[/C][C]0[/C][/ROW]
[ROW][C][1.25,1.3[[/C][C]1.275[/C][C]0[/C][C]0[/C][C]0.99654[/C][C]0[/C][/ROW]
[ROW][C][1.3,1.35[[/C][C]1.325[/C][C]0[/C][C]0[/C][C]0.99654[/C][C]0[/C][/ROW]
[ROW][C][1.35,1.4[[/C][C]1.375[/C][C]0[/C][C]0[/C][C]0.99654[/C][C]0[/C][/ROW]
[ROW][C][1.4,1.45[[/C][C]1.425[/C][C]0[/C][C]0[/C][C]0.99654[/C][C]0[/C][/ROW]
[ROW][C][1.45,1.5[[/C][C]1.475[/C][C]0[/C][C]0[/C][C]0.99654[/C][C]0[/C][/ROW]
[ROW][C][1.5,1.55][/C][C]1.525[/C][C]1[/C][C]0.00346[/C][C]1[/C][C]0.069204[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=155834&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155834&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
[0,0.05[0.02510.003460.003460.069204
[0.05,0.1[0.07550.0173010.0207610.346021
[0.1,0.15[0.12550.0173010.0380620.346021
[0.15,0.2[0.17550.0173010.0553630.346021
[0.2,0.25[0.225110.0380620.0934260.761246
[0.25,0.3[0.275150.0519030.1453291.038062
[0.3,0.35[0.325180.0622840.2076121.245675
[0.35,0.4[0.375360.1245670.332182.491349
[0.4,0.45[0.425330.1141870.4463672.283737
[0.45,0.5[0.475430.1487890.5951562.975779
[0.5,0.55[0.525360.1245670.7197232.491349
[0.55,0.6[0.575290.1003460.8200692.00692
[0.6,0.65[0.625180.0622840.8823531.245675
[0.65,0.7[0.675150.0519030.9342561.038062
[0.7,0.75[0.725100.0346020.9688580.692042
[0.75,0.8[0.77540.0138410.9826990.276817
[0.8,0.85[0.82530.0103810.993080.207612
[0.85,0.9[0.875000.993080
[0.9,0.95[0.92510.003460.996540.069204
[0.95,1[0.975000.996540
[1,1.05[1.025000.996540
[1.05,1.1[1.075000.996540
[1.1,1.15[1.125000.996540
[1.15,1.2[1.175000.996540
[1.2,1.25[1.225000.996540
[1.25,1.3[1.275000.996540
[1.3,1.35[1.325000.996540
[1.35,1.4[1.375000.996540
[1.4,1.45[1.425000.996540
[1.45,1.5[1.475000.996540
[1.5,1.55]1.52510.0034610.069204



Parameters (Session):
par1 = 30 ; par2 = grey ; par3 = FALSE ; par4 = Interval/Ratio ;
Parameters (R input):
par1 = 30 ; par2 = grey ; par3 = FALSE ; par4 = Interval/Ratio ;
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.numeric(x[1])) {
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)
}
} else {
plot(mytab <- table(x),col=par2,main='Frequency Plot',xlab=xlab,ylab='Absolute Frequency')
}
dev.off()
if(is.numeric(x[1])) {
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')
} else {
mytab
reltab <- mytab / sum(mytab)
n <- length(mytab)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Frequency Table (Categorical Data)',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Category',header=TRUE)
a<-table.element(a,'Abs. Frequency',header=TRUE)
a<-table.element(a,'Rel. Frequency',header=TRUE)
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,labels(mytab)$x[i],header=TRUE)
a<-table.element(a,mytab[i])
a<-table.element(a,round(reltab[i],4))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')
}