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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, 21 Dec 2012 15:02:16 -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/21/t1356120154cetixsl1kdnllnw.htm/, Retrieved Fri, 26 Apr 2024 23:38:54 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=204183, Retrieved Fri, 26 Apr 2024 23:38:54 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact88

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Cronbach Alpha] [Intrinsic Motivat...] [2010-10-12 11:40:37] [b98453cac15ba1066b407e146608df68]
- R  D  [Cronbach Alpha] [Extrinsic motivat...] [2012-10-16 20:03:35] [0f86cfddc502cf698caf54991235c44d]
-    D    [Cronbach Alpha] [Extrinsic motivat...] [2012-10-16 20:09:44] [0f86cfddc502cf698caf54991235c44d]
-    D      [Cronbach Alpha] [I1 chronbach alfa] [2012-12-21 14:31:45] [0f86cfddc502cf698caf54991235c44d]
-    D        [Cronbach Alpha] [I3 Cronbach Alpha] [2012-12-21 15:10:38] [0f86cfddc502cf698caf54991235c44d]
-    D          [Cronbach Alpha] [E2 Cronbach alpha] [2012-12-21 15:21:43] [0f86cfddc502cf698caf54991235c44d]
-    D            [Cronbach Alpha] [E3 Cronbach alpha] [2012-12-21 15:39:53] [0f86cfddc502cf698caf54991235c44d]
- RM D              [Histogram] [I1 histogram] [2012-12-21 15:55:39] [0f86cfddc502cf698caf54991235c44d]
- RM D                [Percentiles] [I3 QQ-plot] [2012-12-21 19:29:25] [0f86cfddc502cf698caf54991235c44d]
- R  D                  [Percentiles] [E2 QQ-plot] [2012-12-21 19:42:32] [0f86cfddc502cf698caf54991235c44d]
- RMPD                      [Histogram] [A histogram] [2012-12-21 20:02:16] [a1c9ee8128156b02a669e54abb47d426] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
4
4
6
8
8
4
4
8
5
4
4
4
4
4
4
8
4
4
4
8
4
7
4
4
5
4
4
4
4
4
4
4
15
10
4
8
4
4
4
4
7
4
6
5
4
16
5
12
6
9
9
4
5
4
4
5
4
4
4
5
4
6
4
4
18
4
6
4
4
5
4
4
5
10
5
8
8
5
4
4
4
5
4
4
8
4
5
14
8
8
4
4
6
4
7
7
4
6
4
7
4
4
8
4
4
10
8
6
4
4
4
5
4
6
4
5
7
8
5
8
10
8
5
12
4
5
4
6
4
4
7
7
10
4
5
8
11
7
4
8
6
7
5
4
8
4
8
6
4
9
5
6
4
4
4
5
6
16
6
6
4
4

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'Sir Ronald Aylmer Fisher' @ fisher.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 & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=204183&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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=204183&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=204183&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'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[4,6[51000.6172840.6172840.308642
[6,8[7260.1604940.7777780.080247
[8,10[9230.1419750.9197530.070988
[10,12[1160.0370370.956790.018519
[12,14[1320.0123460.9691360.006173
[14,16[1520.0123460.9814810.006173
[16,18]1730.01851910.009259

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[4,6[ & 5 & 100 & 0.617284 & 0.617284 & 0.308642 \tabularnewline
[6,8[ & 7 & 26 & 0.160494 & 0.777778 & 0.080247 \tabularnewline
[8,10[ & 9 & 23 & 0.141975 & 0.919753 & 0.070988 \tabularnewline
[10,12[ & 11 & 6 & 0.037037 & 0.95679 & 0.018519 \tabularnewline
[12,14[ & 13 & 2 & 0.012346 & 0.969136 & 0.006173 \tabularnewline
[14,16[ & 15 & 2 & 0.012346 & 0.981481 & 0.006173 \tabularnewline
[16,18] & 17 & 3 & 0.018519 & 1 & 0.009259 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=204183&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][4,6[[/C][C]5[/C][C]100[/C][C]0.617284[/C][C]0.617284[/C][C]0.308642[/C][/ROW]
[ROW][C][6,8[[/C][C]7[/C][C]26[/C][C]0.160494[/C][C]0.777778[/C][C]0.080247[/C][/ROW]
[ROW][C][8,10[[/C][C]9[/C][C]23[/C][C]0.141975[/C][C]0.919753[/C][C]0.070988[/C][/ROW]
[ROW][C][10,12[[/C][C]11[/C][C]6[/C][C]0.037037[/C][C]0.95679[/C][C]0.018519[/C][/ROW]
[ROW][C][12,14[[/C][C]13[/C][C]2[/C][C]0.012346[/C][C]0.969136[/C][C]0.006173[/C][/ROW]
[ROW][C][14,16[[/C][C]15[/C][C]2[/C][C]0.012346[/C][C]0.981481[/C][C]0.006173[/C][/ROW]
[ROW][C][16,18][/C][C]17[/C][C]3[/C][C]0.018519[/C][C]1[/C][C]0.009259[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=204183&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=204183&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
[4,6[51000.6172840.6172840.308642
[6,8[7260.1604940.7777780.080247
[8,10[9230.1419750.9197530.070988
[10,12[1160.0370370.956790.018519
[12,14[1320.0123460.9691360.006173
[14,16[1520.0123460.9814810.006173
[16,18]1730.01851910.009259


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')
}