Free Statistics

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Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationMon, 30 Dec 2013 09:25:23 -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/Dec/30/t13884135357t58575nvglfhg0.htm/, Retrieved Fri, 29 Mar 2024 06:12:46 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=232680, Retrieved Fri, 29 Mar 2024 06:12:46 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact96
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [] [2013-09-19 10:27:50] [7693d6bd9b394a2eae1da409a7dd3216]
- RMPD  [Histogram] [] [2013-09-25 12:04:35] [7693d6bd9b394a2eae1da409a7dd3216]
-   P       [Histogram] [] [2013-12-30 14:25:23] [ffc6217b42a6800413892efb2ef7f057] [Current]
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Dataseries X:
80
80
80
80
80
80
80
80
80
80
80
80
80
80
85
85
85
85
85
85
85
85
85
85
85
85
85
85
85
85
85
85
85
85
85
85
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
90
100
100
100
100
100
100
100
100
100
100
100
100
100
100
100
110
110
110
110
110
110
110
110
110
110
110
110
110
120
120
120
120
120
120
120
120
120
120
120
120
120
120
120
120
120
120
120
120
120
200
210




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Herman Ole Andreas Wold' @ wold.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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232680&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232680&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232680&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 time2 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[80,90[85360.2352940.2352940.023529
[90,100[95660.4313730.6666670.043137
[100,110[105150.0980390.7647060.009804
[110,120[115130.0849670.8496730.008497
[120,130[125210.1372550.9869280.013725
[130,140[135000.9869280
[140,150[145000.9869280
[150,160[155000.9869280
[160,170[165000.9869280
[170,180[175000.9869280
[180,190[185000.9869280
[190,200[195000.9869280
[200,210]20520.01307210.001307

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[80,90[ & 85 & 36 & 0.235294 & 0.235294 & 0.023529 \tabularnewline
[90,100[ & 95 & 66 & 0.431373 & 0.666667 & 0.043137 \tabularnewline
[100,110[ & 105 & 15 & 0.098039 & 0.764706 & 0.009804 \tabularnewline
[110,120[ & 115 & 13 & 0.084967 & 0.849673 & 0.008497 \tabularnewline
[120,130[ & 125 & 21 & 0.137255 & 0.986928 & 0.013725 \tabularnewline
[130,140[ & 135 & 0 & 0 & 0.986928 & 0 \tabularnewline
[140,150[ & 145 & 0 & 0 & 0.986928 & 0 \tabularnewline
[150,160[ & 155 & 0 & 0 & 0.986928 & 0 \tabularnewline
[160,170[ & 165 & 0 & 0 & 0.986928 & 0 \tabularnewline
[170,180[ & 175 & 0 & 0 & 0.986928 & 0 \tabularnewline
[180,190[ & 185 & 0 & 0 & 0.986928 & 0 \tabularnewline
[190,200[ & 195 & 0 & 0 & 0.986928 & 0 \tabularnewline
[200,210] & 205 & 2 & 0.013072 & 1 & 0.001307 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232680&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][80,90[[/C][C]85[/C][C]36[/C][C]0.235294[/C][C]0.235294[/C][C]0.023529[/C][/ROW]
[ROW][C][90,100[[/C][C]95[/C][C]66[/C][C]0.431373[/C][C]0.666667[/C][C]0.043137[/C][/ROW]
[ROW][C][100,110[[/C][C]105[/C][C]15[/C][C]0.098039[/C][C]0.764706[/C][C]0.009804[/C][/ROW]
[ROW][C][110,120[[/C][C]115[/C][C]13[/C][C]0.084967[/C][C]0.849673[/C][C]0.008497[/C][/ROW]
[ROW][C][120,130[[/C][C]125[/C][C]21[/C][C]0.137255[/C][C]0.986928[/C][C]0.013725[/C][/ROW]
[ROW][C][130,140[[/C][C]135[/C][C]0[/C][C]0[/C][C]0.986928[/C][C]0[/C][/ROW]
[ROW][C][140,150[[/C][C]145[/C][C]0[/C][C]0[/C][C]0.986928[/C][C]0[/C][/ROW]
[ROW][C][150,160[[/C][C]155[/C][C]0[/C][C]0[/C][C]0.986928[/C][C]0[/C][/ROW]
[ROW][C][160,170[[/C][C]165[/C][C]0[/C][C]0[/C][C]0.986928[/C][C]0[/C][/ROW]
[ROW][C][170,180[[/C][C]175[/C][C]0[/C][C]0[/C][C]0.986928[/C][C]0[/C][/ROW]
[ROW][C][180,190[[/C][C]185[/C][C]0[/C][C]0[/C][C]0.986928[/C][C]0[/C][/ROW]
[ROW][C][190,200[[/C][C]195[/C][C]0[/C][C]0[/C][C]0.986928[/C][C]0[/C][/ROW]
[ROW][C][200,210][/C][C]205[/C][C]2[/C][C]0.013072[/C][C]1[/C][C]0.001307[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232680&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232680&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
[80,90[85360.2352940.2352940.023529
[90,100[95660.4313730.6666670.043137
[100,110[105150.0980390.7647060.009804
[110,120[115130.0849670.8496730.008497
[120,130[125210.1372550.9869280.013725
[130,140[135000.9869280
[140,150[145000.9869280
[150,160[155000.9869280
[160,170[165000.9869280
[170,180[175000.9869280
[180,190[185000.9869280
[190,200[195000.9869280
[200,210]20520.01307210.001307



Parameters (Session):
par1 = 13 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = 13 ; 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')
}