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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationSat, 01 Dec 2012 13:25:58 -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/2012/Dec/01/t1354386369zpffczy7vv70e3k.htm/, Retrieved Mon, 29 Apr 2024 00:01:28 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=195378, Retrieved Mon, 29 Apr 2024 00:01:28 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact114

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [histogramfrequenc...] [2012-12-01 18:25:58] [e357aba3893873b930815b56a53f1005] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
-0.0447135253960225
-0.0681917363421248
0.197918284222177
0.364977451074597
1.51337974853374
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1.26000921879800
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0.494328806219962

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ jenkins.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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=195378&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' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=195378&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=195378&T=0

As an alternative you can also use a QR Code:  
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' @ jenkins.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[-2,-1.5[-1.7510.0027780.0027780.005556
[-1.5,-1[-1.2580.0222220.0250.044444
[-1,-0.5[-0.75450.1250.150.25
[-0.5,0[-0.251410.3916670.5416670.783333
[0,0.5[0.251050.2916670.8333330.583333
[0.5,1[0.75460.1277780.9611110.255556
[1,1.5[1.25100.0277780.9888890.055556
[1.5,2]1.7540.01111110.022222

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[-2,-1.5[ & -1.75 & 1 & 0.002778 & 0.002778 & 0.005556 \tabularnewline
[-1.5,-1[ & -1.25 & 8 & 0.022222 & 0.025 & 0.044444 \tabularnewline
[-1,-0.5[ & -0.75 & 45 & 0.125 & 0.15 & 0.25 \tabularnewline
[-0.5,0[ & -0.25 & 141 & 0.391667 & 0.541667 & 0.783333 \tabularnewline
[0,0.5[ & 0.25 & 105 & 0.291667 & 0.833333 & 0.583333 \tabularnewline
[0.5,1[ & 0.75 & 46 & 0.127778 & 0.961111 & 0.255556 \tabularnewline
[1,1.5[ & 1.25 & 10 & 0.027778 & 0.988889 & 0.055556 \tabularnewline
[1.5,2] & 1.75 & 4 & 0.011111 & 1 & 0.022222 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=195378&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][-2,-1.5[[/C][C]-1.75[/C][C]1[/C][C]0.002778[/C][C]0.002778[/C][C]0.005556[/C][/ROW]
[ROW][C][-1.5,-1[[/C][C]-1.25[/C][C]8[/C][C]0.022222[/C][C]0.025[/C][C]0.044444[/C][/ROW]
[ROW][C][-1,-0.5[[/C][C]-0.75[/C][C]45[/C][C]0.125[/C][C]0.15[/C][C]0.25[/C][/ROW]
[ROW][C][-0.5,0[[/C][C]-0.25[/C][C]141[/C][C]0.391667[/C][C]0.541667[/C][C]0.783333[/C][/ROW]
[ROW][C][0,0.5[[/C][C]0.25[/C][C]105[/C][C]0.291667[/C][C]0.833333[/C][C]0.583333[/C][/ROW]
[ROW][C][0.5,1[[/C][C]0.75[/C][C]46[/C][C]0.127778[/C][C]0.961111[/C][C]0.255556[/C][/ROW]
[ROW][C][1,1.5[[/C][C]1.25[/C][C]10[/C][C]0.027778[/C][C]0.988889[/C][C]0.055556[/C][/ROW]
[ROW][C][1.5,2][/C][C]1.75[/C][C]4[/C][C]0.011111[/C][C]1[/C][C]0.022222[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=195378&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=195378&T=1

As an alternative you can also use a QR Code:  
QR Code


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

Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[-2,-1.5[-1.7510.0027780.0027780.005556
[-1.5,-1[-1.2580.0222220.0250.044444
[-1,-0.5[-0.75450.1250.150.25
[-0.5,0[-0.251410.3916670.5416670.783333
[0,0.5[0.251050.2916670.8333330.583333
[0.5,1[0.75460.1277780.9611110.255556
[1,1.5[1.25100.0277780.9888890.055556
[1.5,2]1.7540.01111110.022222


Figures (Output of Computation)

Input Parameters & R Code

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.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')
}