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Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationMon, 28 Nov 2011 07:49:41 -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/Nov/28/t13224847290w3af34jh06lqn7.htm/, Retrieved Fri, 29 Mar 2024 15:58:32 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=147693, Retrieved Fri, 29 Mar 2024 15:58:32 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W1
Estimated Impact116
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Frequentietabel I...] [2011-11-28 12:49:41] [76bda0bb7d6f469fbad64fdea2dd989f] [Current]
- RMP     [Kernel Density Estimation] [Dichtheidsgrafiek...] [2011-11-28 13:13:35] [77b79fca1322508fd7e2d5b3e9715c12]
- RMPD    [Variability] [Opdr1Opg8] [2011-11-28 15:43:37] [77b79fca1322508fd7e2d5b3e9715c12]
- RMPD    [Standard Deviation Plot] [Standard Deviatio...] [2011-11-28 16:08:27] [77b79fca1322508fd7e2d5b3e9715c12]
- R  D      [Standard Deviation Plot] [Opdracht2Opgave8] [2011-11-28 17:12:07] [77b79fca1322508fd7e2d5b3e9715c12]
-    D      [Standard Deviation Plot] [Opdracht2Opgave8] [2011-11-28 17:16:26] [77b79fca1322508fd7e2d5b3e9715c12]
- RMPD      [Variability] [Opdracht3Opgave8] [2011-11-28 17:22:18] [77b79fca1322508fd7e2d5b3e9715c12]
-    D      [Standard Deviation Plot] [Opdracht3Opgave8] [2011-11-28 17:23:21] [77b79fca1322508fd7e2d5b3e9715c12]
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Dataseries X:
100.32
100.33
100.38
100.35
100.44
100.47
100.49
100.52
100.47
100.48
100.48
100.53
100.62
100.89
100.97
101.01
101.02
100.92
100.93
100.98
101.07
101.1
101.11
101.19
101.31
101.52
101.61
101.65
101.66
101.56
101.75
101.83
101.98
102.06
102.07
102.1
102.42
102.91
103.14
103.23
103.23
102.91
103.11
103.14
103.26
103.3
103.32
103.44
103.54
103.98
104.24
104.29
104.29
103.98
103.98
103.89
103.86
103.88
103.88
104.31
104.41
104.8
104.89
104.9




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 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 & 0 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=147693&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=147693&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=147693&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'Herman Ole Andreas Wold' @ wold.wessa.net







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[100,100.5[100.25100.156250.156250.3125
[100.5,101[100.7580.1250.281250.25
[101,101.5[101.2570.1093750.3906250.21875
[101.5,102[101.7580.1250.5156250.25
[102,102.5[102.2540.06250.5781250.125
[102.5,103[102.7520.031250.6093750.0625
[103,103.5[103.2590.1406250.750.28125
[103.5,104[103.7580.1250.8750.25
[104,104.5[104.2550.0781250.9531250.15625
[104.5,105]104.7530.04687510.09375

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[100,100.5[ & 100.25 & 10 & 0.15625 & 0.15625 & 0.3125 \tabularnewline
[100.5,101[ & 100.75 & 8 & 0.125 & 0.28125 & 0.25 \tabularnewline
[101,101.5[ & 101.25 & 7 & 0.109375 & 0.390625 & 0.21875 \tabularnewline
[101.5,102[ & 101.75 & 8 & 0.125 & 0.515625 & 0.25 \tabularnewline
[102,102.5[ & 102.25 & 4 & 0.0625 & 0.578125 & 0.125 \tabularnewline
[102.5,103[ & 102.75 & 2 & 0.03125 & 0.609375 & 0.0625 \tabularnewline
[103,103.5[ & 103.25 & 9 & 0.140625 & 0.75 & 0.28125 \tabularnewline
[103.5,104[ & 103.75 & 8 & 0.125 & 0.875 & 0.25 \tabularnewline
[104,104.5[ & 104.25 & 5 & 0.078125 & 0.953125 & 0.15625 \tabularnewline
[104.5,105] & 104.75 & 3 & 0.046875 & 1 & 0.09375 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=147693&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][100,100.5[[/C][C]100.25[/C][C]10[/C][C]0.15625[/C][C]0.15625[/C][C]0.3125[/C][/ROW]
[ROW][C][100.5,101[[/C][C]100.75[/C][C]8[/C][C]0.125[/C][C]0.28125[/C][C]0.25[/C][/ROW]
[ROW][C][101,101.5[[/C][C]101.25[/C][C]7[/C][C]0.109375[/C][C]0.390625[/C][C]0.21875[/C][/ROW]
[ROW][C][101.5,102[[/C][C]101.75[/C][C]8[/C][C]0.125[/C][C]0.515625[/C][C]0.25[/C][/ROW]
[ROW][C][102,102.5[[/C][C]102.25[/C][C]4[/C][C]0.0625[/C][C]0.578125[/C][C]0.125[/C][/ROW]
[ROW][C][102.5,103[[/C][C]102.75[/C][C]2[/C][C]0.03125[/C][C]0.609375[/C][C]0.0625[/C][/ROW]
[ROW][C][103,103.5[[/C][C]103.25[/C][C]9[/C][C]0.140625[/C][C]0.75[/C][C]0.28125[/C][/ROW]
[ROW][C][103.5,104[[/C][C]103.75[/C][C]8[/C][C]0.125[/C][C]0.875[/C][C]0.25[/C][/ROW]
[ROW][C][104,104.5[[/C][C]104.25[/C][C]5[/C][C]0.078125[/C][C]0.953125[/C][C]0.15625[/C][/ROW]
[ROW][C][104.5,105][/C][C]104.75[/C][C]3[/C][C]0.046875[/C][C]1[/C][C]0.09375[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=147693&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=147693&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
[100,100.5[100.25100.156250.156250.3125
[100.5,101[100.7580.1250.281250.25
[101,101.5[101.2570.1093750.3906250.21875
[101.5,102[101.7580.1250.5156250.25
[102,102.5[102.2540.06250.5781250.125
[102.5,103[102.7520.031250.6093750.0625
[103,103.5[103.2590.1406250.750.28125
[103.5,104[103.7580.1250.8750.25
[104,104.5[104.2550.0781250.9531250.15625
[104.5,105]104.7530.04687510.09375



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')
}