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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 computationSun, 16 Dec 2012 08:46:12 -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/16/t1355665588f93on33phsc0vyh.htm/, Retrieved Sat, 20 Apr 2024 09:35:30 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=200347, Retrieved Sat, 20 Apr 2024 09:35:30 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact115

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Stem-and-leaf Plot] [] [2012-12-16 08:26:06] [5bd5238c609be1efcd3f9af130e08c87]
- RMP     [Histogram] [] [2012-12-16 13:46:12] [14762276d088da8d9efe369819cbb035] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
13.5
8.4
10.5
9
9.2
9.7
6.6
10.6
10.1
7.1
8
7.9
6.8
9.5
8.1
13.5
9.9
6.9
7.5
11.1
8.2
8
7.7
7.4
6.5
9.5
8.2
6.9
7.2
8.2
9.6
7.2
8.8
11.3
8.5
9.4
10.5
6.9
6.5
7.5
7.1
13.2
7.7
5.9
5.2
5.6
11.7
6
7.8
6.5

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'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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=200347&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=200347&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=200347&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'Gwilym Jenkins' @ jenkins.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[5,6[5.530.060.060.06
[6,7[6.590.180.240.18
[7,8[7.5110.220.460.22
[8,9[8.590.180.640.18
[9,10[9.580.160.80.16
[10,11[10.540.080.880.08
[11,12[11.530.060.940.06
[12,13[12.5000.940
[13,14]13.530.0610.06

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[5,6[ & 5.5 & 3 & 0.06 & 0.06 & 0.06 \tabularnewline
[6,7[ & 6.5 & 9 & 0.18 & 0.24 & 0.18 \tabularnewline
[7,8[ & 7.5 & 11 & 0.22 & 0.46 & 0.22 \tabularnewline
[8,9[ & 8.5 & 9 & 0.18 & 0.64 & 0.18 \tabularnewline
[9,10[ & 9.5 & 8 & 0.16 & 0.8 & 0.16 \tabularnewline
[10,11[ & 10.5 & 4 & 0.08 & 0.88 & 0.08 \tabularnewline
[11,12[ & 11.5 & 3 & 0.06 & 0.94 & 0.06 \tabularnewline
[12,13[ & 12.5 & 0 & 0 & 0.94 & 0 \tabularnewline
[13,14] & 13.5 & 3 & 0.06 & 1 & 0.06 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=200347&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]3[/C][C]0.06[/C][C]0.06[/C][C]0.06[/C][/ROW]
[ROW][C][6,7[[/C][C]6.5[/C][C]9[/C][C]0.18[/C][C]0.24[/C][C]0.18[/C][/ROW]
[ROW][C][7,8[[/C][C]7.5[/C][C]11[/C][C]0.22[/C][C]0.46[/C][C]0.22[/C][/ROW]
[ROW][C][8,9[[/C][C]8.5[/C][C]9[/C][C]0.18[/C][C]0.64[/C][C]0.18[/C][/ROW]
[ROW][C][9,10[[/C][C]9.5[/C][C]8[/C][C]0.16[/C][C]0.8[/C][C]0.16[/C][/ROW]
[ROW][C][10,11[[/C][C]10.5[/C][C]4[/C][C]0.08[/C][C]0.88[/C][C]0.08[/C][/ROW]
[ROW][C][11,12[[/C][C]11.5[/C][C]3[/C][C]0.06[/C][C]0.94[/C][C]0.06[/C][/ROW]
[ROW][C][12,13[[/C][C]12.5[/C][C]0[/C][C]0[/C][C]0.94[/C][C]0[/C][/ROW]
[ROW][C][13,14][/C][C]13.5[/C][C]3[/C][C]0.06[/C][C]1[/C][C]0.06[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=200347&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=200347&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[5.530.060.060.06
[6,7[6.590.180.240.18
[7,8[7.5110.220.460.22
[8,9[8.590.180.640.18
[9,10[9.580.160.80.16
[10,11[10.540.080.880.08
[11,12[11.530.060.940.06
[12,13[12.5000.940
[13,14]13.530.0610.06


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
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')
}