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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 computationSat, 10 Dec 2016 11:12:12 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Dec/10/t1481364752227vt9xk9bjdg8l.htm/, Retrieved Sun, 05 May 2024 23:02:42 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=298623, Retrieved Sun, 05 May 2024 23:02:42 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact118

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Histogram Usability] [2016-12-10 10:12:12] [6fe662842930c5949e61d44eeb8a265b] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
22
24
26
21
26
25
21
24
27
28
23
25
24
24
24
25
25
25
25
24
26
26
25
26
23
24
24
25
25
24
28
27
23
23
24
24
22
25
25
28
22
28
25
24
24
23
25
26
25
27
26
23
25
21
22
24
25
27
24
26
21
27
22
23
24
25
24
23
28
24
26
22
25
25
24
24
26
21
25
25
26
25
26
27
25
20
24
26
25
25
24
26
25
28
27
25
26
26
26
28
21
25
25
24
24
24
23
23
24
24
25
28
23
24
23
24
25
24
23
23
25
21
22
19
24
25
21
22
23
27
26
29
28
24
25
25
22
25
26
26
24
25
19
25
23
25
25
26
27
24
22
25
24
23
27
24
24
21
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25
23

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=298623&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=298623&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=298623&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
[19,20[19.520.0124220.0124220.012422
[20,21[20.510.0062110.0186340.006211
[21,22[21.590.0559010.0745340.055901
[22,23[22.5100.0621120.1366460.062112
[23,24[23.5180.1118010.2484470.111801
[24,25[24.5370.2298140.4782610.229814
[25,26[25.5430.2670810.7453420.267081
[26,27[26.5210.1304350.8757760.130435
[27,28[27.5100.0621120.9378880.062112
[28,29]28.5100.06211210.062112

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[19,20[ & 19.5 & 2 & 0.012422 & 0.012422 & 0.012422 \tabularnewline
[20,21[ & 20.5 & 1 & 0.006211 & 0.018634 & 0.006211 \tabularnewline
[21,22[ & 21.5 & 9 & 0.055901 & 0.074534 & 0.055901 \tabularnewline
[22,23[ & 22.5 & 10 & 0.062112 & 0.136646 & 0.062112 \tabularnewline
[23,24[ & 23.5 & 18 & 0.111801 & 0.248447 & 0.111801 \tabularnewline
[24,25[ & 24.5 & 37 & 0.229814 & 0.478261 & 0.229814 \tabularnewline
[25,26[ & 25.5 & 43 & 0.267081 & 0.745342 & 0.267081 \tabularnewline
[26,27[ & 26.5 & 21 & 0.130435 & 0.875776 & 0.130435 \tabularnewline
[27,28[ & 27.5 & 10 & 0.062112 & 0.937888 & 0.062112 \tabularnewline
[28,29] & 28.5 & 10 & 0.062112 & 1 & 0.062112 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=298623&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][19,20[[/C][C]19.5[/C][C]2[/C][C]0.012422[/C][C]0.012422[/C][C]0.012422[/C][/ROW]
[ROW][C][20,21[[/C][C]20.5[/C][C]1[/C][C]0.006211[/C][C]0.018634[/C][C]0.006211[/C][/ROW]
[ROW][C][21,22[[/C][C]21.5[/C][C]9[/C][C]0.055901[/C][C]0.074534[/C][C]0.055901[/C][/ROW]
[ROW][C][22,23[[/C][C]22.5[/C][C]10[/C][C]0.062112[/C][C]0.136646[/C][C]0.062112[/C][/ROW]
[ROW][C][23,24[[/C][C]23.5[/C][C]18[/C][C]0.111801[/C][C]0.248447[/C][C]0.111801[/C][/ROW]
[ROW][C][24,25[[/C][C]24.5[/C][C]37[/C][C]0.229814[/C][C]0.478261[/C][C]0.229814[/C][/ROW]
[ROW][C][25,26[[/C][C]25.5[/C][C]43[/C][C]0.267081[/C][C]0.745342[/C][C]0.267081[/C][/ROW]
[ROW][C][26,27[[/C][C]26.5[/C][C]21[/C][C]0.130435[/C][C]0.875776[/C][C]0.130435[/C][/ROW]
[ROW][C][27,28[[/C][C]27.5[/C][C]10[/C][C]0.062112[/C][C]0.937888[/C][C]0.062112[/C][/ROW]
[ROW][C][28,29][/C][C]28.5[/C][C]10[/C][C]0.062112[/C][C]1[/C][C]0.062112[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=298623&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=298623&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
[19,20[19.520.0124220.0124220.012422
[20,21[20.510.0062110.0186340.006211
[21,22[21.590.0559010.0745340.055901
[22,23[22.5100.0621120.1366460.062112
[23,24[23.5180.1118010.2484470.111801
[24,25[24.5370.2298140.4782610.229814
[25,26[25.5430.2670810.7453420.267081
[26,27[26.5210.1304350.8757760.130435
[27,28[27.5100.0621120.9378880.062112
[28,29]28.5100.06211210.062112


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 {
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')
}