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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationThu, 31 May 2018 16:19:58 +0200
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2018/May/31/t1527776479me02pffya4zc93z.htm/, Retrieved Tue, 07 May 2024 18:34:02 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=315071, Retrieved Tue, 07 May 2024 18:34:02 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact132

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [] [2018-05-31 14:19:58] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
121
118
116
116
119
116
110
110
112
140
120
106
117
106
114
114
106
106
113
114
114
114
116
118
106
116
116
108
107
118
125
106
140
117
117
116
107
116
119
136
105
118
118
120
107
109
108
114
122
104
104
122
139
120
106
105
106
107
107
119

Tables (Output of Computation)





Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R ServerBig Analytics Cloud Computing Center

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time1 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=315071&T=0

[TABLE]
[ROW]
Summary of computational transaction[/C][/ROW] [ROW]Raw Input[/C] view raw input (R code) [/C][/ROW] [ROW]Raw Output[/C]view raw output of R engine [/C][/ROW] [ROW]Computing time[/C]1 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=315071&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=315071&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 Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R ServerBig Analytics Cloud Computing Center






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[100,105[102.520.0333330.0333330.006667
[105,110[107.5180.30.3333330.06
[110,115[112.5100.1666670.50.033333
[115,120[117.5190.3166670.8166670.063333
[120,125[122.560.10.9166670.02
[125,130[127.510.0166670.9333330.003333
[130,135[132.5000.9333330
[135,140]137.540.06666710.013333

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[100,105[ & 102.5 & 2 & 0.033333 & 0.033333 & 0.006667 \tabularnewline
[105,110[ & 107.5 & 18 & 0.3 & 0.333333 & 0.06 \tabularnewline
[110,115[ & 112.5 & 10 & 0.166667 & 0.5 & 0.033333 \tabularnewline
[115,120[ & 117.5 & 19 & 0.316667 & 0.816667 & 0.063333 \tabularnewline
[120,125[ & 122.5 & 6 & 0.1 & 0.916667 & 0.02 \tabularnewline
[125,130[ & 127.5 & 1 & 0.016667 & 0.933333 & 0.003333 \tabularnewline
[130,135[ & 132.5 & 0 & 0 & 0.933333 & 0 \tabularnewline
[135,140] & 137.5 & 4 & 0.066667 & 1 & 0.013333 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=315071&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][100,105[[/C][C]102.5[/C][C]2[/C][C]0.033333[/C][C]0.033333[/C][C]0.006667[/C][/ROW]
[ROW][C][105,110[[/C][C]107.5[/C][C]18[/C][C]0.3[/C][C]0.333333[/C][C]0.06[/C][/ROW]
[ROW][C][110,115[[/C][C]112.5[/C][C]10[/C][C]0.166667[/C][C]0.5[/C][C]0.033333[/C][/ROW]
[ROW][C][115,120[[/C][C]117.5[/C][C]19[/C][C]0.316667[/C][C]0.816667[/C][C]0.063333[/C][/ROW]
[ROW][C][120,125[[/C][C]122.5[/C][C]6[/C][C]0.1[/C][C]0.916667[/C][C]0.02[/C][/ROW]
[ROW][C][125,130[[/C][C]127.5[/C][C]1[/C][C]0.016667[/C][C]0.933333[/C][C]0.003333[/C][/ROW]
[ROW][C][130,135[[/C][C]132.5[/C][C]0[/C][C]0[/C][C]0.933333[/C][C]0[/C][/ROW]
[ROW][C][135,140][/C][C]137.5[/C][C]4[/C][C]0.066667[/C][C]1[/C][C]0.013333[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=315071&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=315071&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
[100,105[102.520.0333330.0333330.006667
[105,110[107.5180.30.3333330.06
[110,115[112.5100.1666670.50.033333
[115,120[117.5190.3166670.8166670.063333
[120,125[122.560.10.9166670.02
[125,130[127.510.0166670.9333330.003333
[130,135[132.5000.9333330
[135,140]137.540.06666710.013333


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 10 ; par2 = brown ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = 10 ; par2 = brown ; par3 = FALSE ; par4 = Unknown ;
R code (references can be found in the software module):
par4 <- 'Unknown'
par3 <- 'FALSE'
par2 <- 'brown'
par1 <- '7'
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 {
barplot(mytab <- sort(table(x),T),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,'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')
}