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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 computationFri, 16 Dec 2011 13:34:53 -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/Dec/16/t1324060532aaj0hw0p1e0trgu.htm/, Retrieved Sun, 05 May 2024 20:03:15 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=156103, Retrieved Sun, 05 May 2024 20:03:15 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact70

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Survey Scores] [Intrinsic Motivat...] [2010-10-12 11:18:40] [b98453cac15ba1066b407e146608df68]
- RMPD    [Histogram] [Paper SHW Deel 1...] [2011-12-16 18:34:53] [5c44e6aad476a1bab98fc6774eca4c08] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
8
5
10
8
12
6
12
9
6
5
6
10
6
8
6
7
9
10
12
11
11
11
7
11
12
6
10
7
10
10
12
11
13
7
10
12
12
12
10
10
14
14
11
12
13
11
12
12
12
9
11
14
12
15
12
11
6
12
14
12
12
14
12
14
12
11
12
10
10
12
12
11
12
12
15
12
15
11
13
14
12

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'AstonUniversity' @ aston.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 & 'AstonUniversity' @ aston.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=156103&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]'AstonUniversity' @ aston.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=156103&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=156103&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'AstonUniversity' @ aston.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[5,6[5.520.0246910.0246910.024691
[6,7[6.570.086420.1111110.08642
[7,8[7.540.0493830.1604940.049383
[8,9[8.530.0370370.1975310.037037
[9,10[9.530.0370370.2345680.037037
[10,11[10.5110.1358020.370370.135802
[11,12[11.5120.1481480.5185190.148148
[12,13[12.5260.3209880.8395060.320988
[13,14[13.530.0370370.8765430.037037
[14,15]14.5100.12345710.123457

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[5,6[ & 5.5 & 2 & 0.024691 & 0.024691 & 0.024691 \tabularnewline
[6,7[ & 6.5 & 7 & 0.08642 & 0.111111 & 0.08642 \tabularnewline
[7,8[ & 7.5 & 4 & 0.049383 & 0.160494 & 0.049383 \tabularnewline
[8,9[ & 8.5 & 3 & 0.037037 & 0.197531 & 0.037037 \tabularnewline
[9,10[ & 9.5 & 3 & 0.037037 & 0.234568 & 0.037037 \tabularnewline
[10,11[ & 10.5 & 11 & 0.135802 & 0.37037 & 0.135802 \tabularnewline
[11,12[ & 11.5 & 12 & 0.148148 & 0.518519 & 0.148148 \tabularnewline
[12,13[ & 12.5 & 26 & 0.320988 & 0.839506 & 0.320988 \tabularnewline
[13,14[ & 13.5 & 3 & 0.037037 & 0.876543 & 0.037037 \tabularnewline
[14,15] & 14.5 & 10 & 0.123457 & 1 & 0.123457 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=156103&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][5,6[[/C][C]5.5[/C][C]2[/C][C]0.024691[/C][C]0.024691[/C][C]0.024691[/C][/ROW]
[ROW][C][6,7[[/C][C]6.5[/C][C]7[/C][C]0.08642[/C][C]0.111111[/C][C]0.08642[/C][/ROW]
[ROW][C][7,8[[/C][C]7.5[/C][C]4[/C][C]0.049383[/C][C]0.160494[/C][C]0.049383[/C][/ROW]
[ROW][C][8,9[[/C][C]8.5[/C][C]3[/C][C]0.037037[/C][C]0.197531[/C][C]0.037037[/C][/ROW]
[ROW][C][9,10[[/C][C]9.5[/C][C]3[/C][C]0.037037[/C][C]0.234568[/C][C]0.037037[/C][/ROW]
[ROW][C][10,11[[/C][C]10.5[/C][C]11[/C][C]0.135802[/C][C]0.37037[/C][C]0.135802[/C][/ROW]
[ROW][C][11,12[[/C][C]11.5[/C][C]12[/C][C]0.148148[/C][C]0.518519[/C][C]0.148148[/C][/ROW]
[ROW][C][12,13[[/C][C]12.5[/C][C]26[/C][C]0.320988[/C][C]0.839506[/C][C]0.320988[/C][/ROW]
[ROW][C][13,14[[/C][C]13.5[/C][C]3[/C][C]0.037037[/C][C]0.876543[/C][C]0.037037[/C][/ROW]
[ROW][C][14,15][/C][C]14.5[/C][C]10[/C][C]0.123457[/C][C]1[/C][C]0.123457[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=156103&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=156103&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
[5,6[5.520.0246910.0246910.024691
[6,7[6.570.086420.1111110.08642
[7,8[7.540.0493830.1604940.049383
[8,9[8.530.0370370.1975310.037037
[9,10[9.530.0370370.2345680.037037
[10,11[10.5110.1358020.370370.135802
[11,12[11.5120.1481480.5185190.148148
[12,13[12.5260.3209880.8395060.320988
[13,14[13.530.0370370.8765430.037037
[14,15]14.5100.12345710.123457


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')
}