Free Statistics

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Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationWed, 14 Oct 2009 09:15:55 -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/t125553347720ff3pkjpt1s8um.htm/, Retrieved Sat, 04 May 2024 23:47:16 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=46455, Retrieved Sat, 04 May 2024 23:47:16 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W1
Estimated Impact92
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [] [2009-10-14 15:15:55] [6fe3b5976049c9b6736c06f51fce3033] [Current]
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Dataseries X:
23.98
24.24
24.92
25.46
25.84
26.08
26.18
26.34
26.42
26.38
26.04
25.58
25.65
25.56
25.62
25.62
25.69
25.68
25.68
25.83
25.93
26.11
24.72
24.62
24.65
25.24
25.56
25.9
25.87
25.78
25.78
25.74
25.78
25.73
24.67
24.31
24.56
25
25.38
25.99
26.22
26.19
26.22
26.22
26.61
26.72
25.46
25.48
25.59
25.88
26
26.97
27.2
27.19
27.19
27.19
27.26
26.9
26.11
25.87
26.02
26.31
26.37
26.52
26.86
26.92
26.98
26.98
27.03
26.75
26.39
26.3
26.3
26.52
26.53
26.98
27.22
27.34
27.41
27.47
27.46
27.53
27.21
26.91
26.95
26.91
27.39
27.62
27.79
27.88
27.9
28.09
28.46
28.73
27.93
27.61
27.65
28.19
28.98
28.99
29.02
29
29.04
29.19
29.23
29.26
29.02
28.47
28.53
28.48
28.68
28.89
29.2
29.21
29.15
29.22
29.34
29.13
28.84
28.76




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=46455&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=46455&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=46455&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'George Udny Yule' @ 72.249.76.132







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[23.5,24[23.7510.0083330.0083330.016667
[24,24.5[24.2520.0166670.0250.033333
[24.5,25[24.7560.050.0750.1
[25,25.5[25.2560.050.1250.1
[25.5,26[25.75230.1916670.3166670.383333
[26,26.5[26.25190.1583330.4750.316667
[26.5,27[26.75160.1333330.6083330.266667
[27,27.5[27.25130.1083330.7166670.216667
[27.5,28[27.7580.0666670.7833330.133333
[28,28.5[28.2550.0416670.8250.083333
[28.5,29[28.7580.0666670.8916670.133333
[29,29.5]29.25130.10833310.216667

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[23.5,24[ & 23.75 & 1 & 0.008333 & 0.008333 & 0.016667 \tabularnewline
[24,24.5[ & 24.25 & 2 & 0.016667 & 0.025 & 0.033333 \tabularnewline
[24.5,25[ & 24.75 & 6 & 0.05 & 0.075 & 0.1 \tabularnewline
[25,25.5[ & 25.25 & 6 & 0.05 & 0.125 & 0.1 \tabularnewline
[25.5,26[ & 25.75 & 23 & 0.191667 & 0.316667 & 0.383333 \tabularnewline
[26,26.5[ & 26.25 & 19 & 0.158333 & 0.475 & 0.316667 \tabularnewline
[26.5,27[ & 26.75 & 16 & 0.133333 & 0.608333 & 0.266667 \tabularnewline
[27,27.5[ & 27.25 & 13 & 0.108333 & 0.716667 & 0.216667 \tabularnewline
[27.5,28[ & 27.75 & 8 & 0.066667 & 0.783333 & 0.133333 \tabularnewline
[28,28.5[ & 28.25 & 5 & 0.041667 & 0.825 & 0.083333 \tabularnewline
[28.5,29[ & 28.75 & 8 & 0.066667 & 0.891667 & 0.133333 \tabularnewline
[29,29.5] & 29.25 & 13 & 0.108333 & 1 & 0.216667 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=46455&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][23.5,24[[/C][C]23.75[/C][C]1[/C][C]0.008333[/C][C]0.008333[/C][C]0.016667[/C][/ROW]
[ROW][C][24,24.5[[/C][C]24.25[/C][C]2[/C][C]0.016667[/C][C]0.025[/C][C]0.033333[/C][/ROW]
[ROW][C][24.5,25[[/C][C]24.75[/C][C]6[/C][C]0.05[/C][C]0.075[/C][C]0.1[/C][/ROW]
[ROW][C][25,25.5[[/C][C]25.25[/C][C]6[/C][C]0.05[/C][C]0.125[/C][C]0.1[/C][/ROW]
[ROW][C][25.5,26[[/C][C]25.75[/C][C]23[/C][C]0.191667[/C][C]0.316667[/C][C]0.383333[/C][/ROW]
[ROW][C][26,26.5[[/C][C]26.25[/C][C]19[/C][C]0.158333[/C][C]0.475[/C][C]0.316667[/C][/ROW]
[ROW][C][26.5,27[[/C][C]26.75[/C][C]16[/C][C]0.133333[/C][C]0.608333[/C][C]0.266667[/C][/ROW]
[ROW][C][27,27.5[[/C][C]27.25[/C][C]13[/C][C]0.108333[/C][C]0.716667[/C][C]0.216667[/C][/ROW]
[ROW][C][27.5,28[[/C][C]27.75[/C][C]8[/C][C]0.066667[/C][C]0.783333[/C][C]0.133333[/C][/ROW]
[ROW][C][28,28.5[[/C][C]28.25[/C][C]5[/C][C]0.041667[/C][C]0.825[/C][C]0.083333[/C][/ROW]
[ROW][C][28.5,29[[/C][C]28.75[/C][C]8[/C][C]0.066667[/C][C]0.891667[/C][C]0.133333[/C][/ROW]
[ROW][C][29,29.5][/C][C]29.25[/C][C]13[/C][C]0.108333[/C][C]1[/C][C]0.216667[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=46455&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=46455&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
[23.5,24[23.7510.0083330.0083330.016667
[24,24.5[24.2520.0166670.0250.033333
[24.5,25[24.7560.050.0750.1
[25,25.5[25.2560.050.1250.1
[25.5,26[25.75230.1916670.3166670.383333
[26,26.5[26.25190.1583330.4750.316667
[26.5,27[26.75160.1333330.6083330.266667
[27,27.5[27.25130.1083330.7166670.216667
[27.5,28[27.7580.0666670.7833330.133333
[28,28.5[28.2550.0416670.8250.083333
[28.5,29[28.7580.0666670.8916670.133333
[29,29.5]29.25130.10833310.216667



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')