Repository of Reproducible Computations

Free Statistics

of Irreproducible Research!

Author's title

Author

*The author of this computation has been verified*

R Software Module

rwasp_histogram.wasp

Title produced by software

Histogram

Date of computation

Fri, 08 Dec 2017 15:08:04 +0100

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2017/Dec/08/t15127421044qhbwmqc9ky0p8s.htm/, Retrieved Tue, 14 May 2024 07:21:06 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=308805, Retrieved Tue, 14 May 2024 07:21:06 +0000

QR Codes:

Paste this QR Code to cite your computation.

Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-       [Histogram] [Frequency plot pr...] [2017-12-08 14:08:04] [0159858f5a3ac6d1271c400c4cf1c45c] [Current]

Feedback Forum

Post a new message

Dataseries X:

Download CSV

Histogram

Boxplots

'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'descstatC'
'hyptestC'
'hyptestC'
'hyptestC'
'hyptestC'
'hyptestC'
'hyptestC'
'hyptestC'
'hyptestC'
'hyptestC'
'hyptestC'
'hyptestC'
'hyptestC'
'hyptestC'
'hyptestC'
'hyptestC'
'hyptestC'
'hyptestC'
'hyptestC'
'hyptestC'
'hyptestC'
'hyptestC'
'hyptestC'
'hyptestC'
'hyptestC'
'hyptestC'
'hyptestC'
'hyptestC'
'hyptestC'
'hyptestC'
'hyptestC'
'hyptestC'
'hyptestC'
'hyptestC'
'hyptestC'
'hyptestC'
'hyptestC'
'hyptestC'
'hyptestC'
'hyptestC'
'hyptestC'
'hyptestC'
'hyptestC'
'hyptestC'
'hyptestC'
'hyptestC'
'hyptestC'
'hyptestC'
'hyptestC'
'hyptestC'
'hyptestC'
'hyptestC'
'hyptestC'
'hyptestC'
'hyptestC'
'hyptestC'
'hyptestC'
'hyptestC'
'hyptestC'
'hyptestC'
'hyptestC'
'hyptestC'
'hyptestC'
'hyptestC'
'hyptestC'
'hyptestC'
'hyptestC'
'hyptestC'
'hyptestC'
'hyptestC'
'hyptestC'
'hyptestC'
'hyptestC'
'hyptestC'
'hyptestC'
'hyptestC'
'hyptestC'
'hyptestC'
'hyptestC'
'hyptestC'
'hyptestC'
'hyptestC'
'hyptestC'
'hyptestC'
'hyptestC'
'hyptestC'
'hyptestC'
'hyptestC'
'hyptestC'
'regrC'
'regrC'
'regrC'
'regrC'
'regrC'
'regrC'
'regrC'
'regrC'
'regrC'
'regrC'
'regrC'
'regrC'
'regrC'
'regrC'
'regrC'
'regrC'
'regrC'
'regrC'
'regrC'
'regrC'
'regrC'
'regrC'
'regrC'
'regrC'
'regrC'
'regrC'
'regrC'
'regrC'
'regrC'
'regrC'
'regrC'
'regrC'
'regrC'
'regrC'
'regrC'
'regrC'
'regrC'
'regrC'
'regrC'
'regrC'
'regrC'
'regrC'
'regrC'
'regrC'
'regrC'
'regrC'
'regrC'
'regrC'
'regrC'
'regrC'
'regrC'
'regrC'
'regrC'
'regrC'
'regrC'
'regrC'
'regrC'
'regrC'
'regrC'
'regrC'
'regrC'
'regrC'
'regrC'
'regrC'
'regrC'
'regrC'
'regrC'
'regrC'
'tsaC'
'tsaC'
'tsaC'
'tsaC'
'tsaC'
'tsaC'
'tsaC'
'tsaC'
'tsaC'
'tsaC'
'tsaC'
'tsaC'
'tsaC'
'tsaC'
'tsaC'
'tsaC'
'tsaC'
'tsaC'
'tsaC'
'tsaC'
'tsaC'
'tsaC'
'tsaC'
'tsaC'
'tsaC'
'tsaC'
'tsaC'
'tsaC'
'tsaC'
'tsaC'
'tsaC'
'tsaC'
'tsaC'
'tsaC'
'tsaC'
'tsaC'
'tsaC'
'tsaC'
'tsaC'
'tsaC'
'tsaC'
'tsaC'
'spssC'
'spssC'
'spssC'
'spssC'
'spssC'
'spssC'
'spssC'
'spssC'
'spssC'
'spssC'
'spssC'
'spssC'
'spssC'
'spssC'
'spssC'
'spssC'
'spssC'
'spssC'
'spssC'
'spssC'
'spssC'
'spssC'
'spssC'
'spssC'
'spssC'
'spssC'
'spssC'
'spssC'
'spssC'
'spssC'
'spssC'
'spssC'
'spssC'
'spssC'
'spssC'
'spssC'
'spssC'
'spssC'
'spssC'
'spssC'
'spssC'
'spssC'
'spssC'
'spssC'
'spssC'
'spssC'
'spssC'
'spssC'
'spssC'
'spssC'
'spssC'
'spssC'
'spssC'
'spssC'
'spssC'
'spssC'
'spssC'
'spssC'
'spssC'
'spssC'
'spssC'
'spssC'
'spssC'
'spssC'
'spssC'
'spssC'
'spssC'
'spssC'
'spssC'
'spssC'
'spssC'
'spssC'
'spssC'
'spssC'
'spssC'
'spssC'
'spssC'
'spssC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'excelC'
'sasC'
'sasC'
'jmpC'
'jmpC'
'jmpC'
'jmpC'
'jmpC'

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	Big 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=308805&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=308805&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=308805&T=0

As an alternative you can also use a 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 Output	view raw output of R engine
Computing time	1 seconds
R Server	Big Analytics Cloud Computing Center

Frequency Table (Categorical Data)
Category	Abs. Frequency	Rel. Frequency
excelC	168	0.2877
descstatC	133	0.2277
hyptestC	88	0.1507
spssC	78	0.1336
regrC	68	0.1164
tsaC	42	0.0719
jmpC	5	0.0086
sasC	2	0.0034

\begin{tabular}{lllllllll}
\hline
Frequency Table (Categorical Data) \tabularnewline
Category & Abs. Frequency & Rel. Frequency \tabularnewline
excelC & 168 & 0.2877 \tabularnewline
descstatC & 133 & 0.2277 \tabularnewline
hyptestC & 88 & 0.1507 \tabularnewline
spssC & 78 & 0.1336 \tabularnewline
regrC & 68 & 0.1164 \tabularnewline
tsaC & 42 & 0.0719 \tabularnewline
jmpC & 5 & 0.0086 \tabularnewline
sasC & 2 & 0.0034 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=308805&T=1

[TABLE]
[ROW][C]Frequency Table (Categorical Data)[/C][/ROW]
[ROW][C]Category[/C][C]Abs. Frequency[/C][C]Rel. Frequency[/C][/ROW]
[ROW][C]excelC[/C][C]168[/C][C]0.2877[/C][/ROW]
[ROW][C]descstatC[/C][C]133[/C][C]0.2277[/C][/ROW]
[ROW][C]hyptestC[/C][C]88[/C][C]0.1507[/C][/ROW]
[ROW][C]spssC[/C][C]78[/C][C]0.1336[/C][/ROW]
[ROW][C]regrC[/C][C]68[/C][C]0.1164[/C][/ROW]
[ROW][C]tsaC[/C][C]42[/C][C]0.0719[/C][/ROW]
[ROW][C]jmpC[/C][C]5[/C][C]0.0086[/C][/ROW]
[ROW][C]sasC[/C][C]2[/C][C]0.0034[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=308805&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=308805&T=1

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Frequency Table (Categorical Data)
Category	Abs. Frequency	Rel. Frequency
excelC	168	0.2877
descstatC	133	0.2277
hyptestC	88	0.1507
spssC	78	0.1336
regrC	68	0.1164
tsaC	42	0.0719
jmpC	5	0.0086
sasC	2	0.0034

Figure 1

PNG link

Postscript link

PDF link

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')
}

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code