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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationTue, 19 Feb 2013 06:05:14 -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/2013/Feb/19/t1361271940z9no831bycg6x1m.htm/, Retrieved Sat, 04 May 2024 03:52:32 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=206577, Retrieved Sat, 04 May 2024 03:52:32 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact153

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [] [2013-02-19 11:05:14] [e610340e7a3184c9e0a1f377a12e8a83] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
-10,3
-10,5
-10,2
-9,3
-6,9
-3,5
-1,3
0,2
2,7
5,1
5,5
4,5
2,9
0,5
-2
-3,6
-5
-6,1
-6,2
-5
-3,9
-4,5
-6,2
-7,2
-7,9
-9,9
-13,8
-17
-19,3
-21,9
-24,4
-27,1
-29,5
-30,9
-30,8
-29,2
-26,5
-21,3
-14,4
-8,3
-4,4
-2,6
-1,7
-0,9
0,4
1,5
1,8
1,8
2
2,2
3
4,2
5,5
6,7
7,1
6,7
5,8
5,1
5,1
5,8
6,3
6,4
6,2
6,3
6,5
6,5
6,2
5,7
4,9
3,5
2,1
0,9

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=206577&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]2 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=206577&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=206577&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 time2 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[-35,-30[-32.520.0277780.0277780.005556
[-30,-25[-27.540.0555560.0833330.011111
[-25,-20[-22.530.0416670.1250.008333
[-20,-15[-17.520.0277780.1527780.005556
[-15,-10[-12.550.0694440.2222220.013889
[-10,-5[-7.590.1250.3472220.025
[-5,0[-2.5120.1666670.5138890.033333
[0,5[2.5170.2361110.750.047222
[5,10]7.5180.2510.05

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[-35,-30[ & -32.5 & 2 & 0.027778 & 0.027778 & 0.005556 \tabularnewline
[-30,-25[ & -27.5 & 4 & 0.055556 & 0.083333 & 0.011111 \tabularnewline
[-25,-20[ & -22.5 & 3 & 0.041667 & 0.125 & 0.008333 \tabularnewline
[-20,-15[ & -17.5 & 2 & 0.027778 & 0.152778 & 0.005556 \tabularnewline
[-15,-10[ & -12.5 & 5 & 0.069444 & 0.222222 & 0.013889 \tabularnewline
[-10,-5[ & -7.5 & 9 & 0.125 & 0.347222 & 0.025 \tabularnewline
[-5,0[ & -2.5 & 12 & 0.166667 & 0.513889 & 0.033333 \tabularnewline
[0,5[ & 2.5 & 17 & 0.236111 & 0.75 & 0.047222 \tabularnewline
[5,10] & 7.5 & 18 & 0.25 & 1 & 0.05 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=206577&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][-35,-30[[/C][C]-32.5[/C][C]2[/C][C]0.027778[/C][C]0.027778[/C][C]0.005556[/C][/ROW]
[ROW][C][-30,-25[[/C][C]-27.5[/C][C]4[/C][C]0.055556[/C][C]0.083333[/C][C]0.011111[/C][/ROW]
[ROW][C][-25,-20[[/C][C]-22.5[/C][C]3[/C][C]0.041667[/C][C]0.125[/C][C]0.008333[/C][/ROW]
[ROW][C][-20,-15[[/C][C]-17.5[/C][C]2[/C][C]0.027778[/C][C]0.152778[/C][C]0.005556[/C][/ROW]
[ROW][C][-15,-10[[/C][C]-12.5[/C][C]5[/C][C]0.069444[/C][C]0.222222[/C][C]0.013889[/C][/ROW]
[ROW][C][-10,-5[[/C][C]-7.5[/C][C]9[/C][C]0.125[/C][C]0.347222[/C][C]0.025[/C][/ROW]
[ROW][C][-5,0[[/C][C]-2.5[/C][C]12[/C][C]0.166667[/C][C]0.513889[/C][C]0.033333[/C][/ROW]
[ROW][C][0,5[[/C][C]2.5[/C][C]17[/C][C]0.236111[/C][C]0.75[/C][C]0.047222[/C][/ROW]
[ROW][C][5,10][/C][C]7.5[/C][C]18[/C][C]0.25[/C][C]1[/C][C]0.05[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=206577&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=206577&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
[-35,-30[-32.520.0277780.0277780.005556
[-30,-25[-27.540.0555560.0833330.011111
[-25,-20[-22.530.0416670.1250.008333
[-20,-15[-17.520.0277780.1527780.005556
[-15,-10[-12.550.0694440.2222220.013889
[-10,-5[-7.590.1250.3472220.025
[-5,0[-2.5120.1666670.5138890.033333
[0,5[2.5170.2361110.750.047222
[5,10]7.5180.2510.05


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')
}