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Author's title

Author

*Unverified author*

R Software Module

rwasp_histogram.wasp

Title produced by software

Histogram

Date of computation

Sun, 09 Feb 2014 12:42:55 -0500

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/2014/Feb/09/t1391967841mbx0zmem7z10c65.htm/, Retrieved Thu, 16 May 2024 09:38:30 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=233461, Retrieved Thu, 16 May 2024 09:38:30 +0000

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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] [gemiddelde prijs ...] [2014-02-09 17:42:55] [b973758fc1658916c4a7c8f7ddd22f57] [Current]

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Dataseries X:

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Histogram

Boxplots

2.9
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3.1
3.1
3.1
3.1
3.1
3.1
3.1
3.1
3.1
3.1
3.1
3.1
3.3
3.3
3.3
3.3
3.3
3.3
3.3
3.3
3.3
3.3
3.3
3.3
3.3
3.3
3.3
3.3
3.3
3.3
3.3
3.3
3.3
3.3
3.3
3.3
3.3
3.3
3.3
3.3
3.3
3.3
3.3
3.3
3.3
3.3
3.3
3.3
3.5
3.5
3.5
3.5
3.5
3.5
3.5
3.5
3.5
3.5
3.5

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	'Herman Ole Andreas Wold' @ wold.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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=233461&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=233461&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=233461&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	'Herman Ole Andreas Wold' @ wold.wessa.net

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[2.9,2.95[	2.925	1	0.011905	0.011905	0.238095
[2.95,3[	2.975	0	0	0.011905	0
[3,3.05[	3.025	24	0.285714	0.297619	5.714286
[3.05,3.1[	3.075	0	0	0.297619	0
[3.1,3.15[	3.125	12	0.142857	0.440476	2.857143
[3.15,3.2[	3.175	0	0	0.440476	0
[3.2,3.25[	3.225	0	0	0.440476	0
[3.25,3.3[	3.275	0	0	0.440476	0
[3.3,3.35[	3.325	36	0.428571	0.869048	8.571429
[3.35,3.4[	3.375	0	0	0.869048	0
[3.4,3.45[	3.425	0	0	0.869048	0
[3.45,3.5]	3.475	11	0.130952	1	2.619048

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[2.9,2.95[ & 2.925 & 1 & 0.011905 & 0.011905 & 0.238095 \tabularnewline
[2.95,3[ & 2.975 & 0 & 0 & 0.011905 & 0 \tabularnewline
[3,3.05[ & 3.025 & 24 & 0.285714 & 0.297619 & 5.714286 \tabularnewline
[3.05,3.1[ & 3.075 & 0 & 0 & 0.297619 & 0 \tabularnewline
[3.1,3.15[ & 3.125 & 12 & 0.142857 & 0.440476 & 2.857143 \tabularnewline
[3.15,3.2[ & 3.175 & 0 & 0 & 0.440476 & 0 \tabularnewline
[3.2,3.25[ & 3.225 & 0 & 0 & 0.440476 & 0 \tabularnewline
[3.25,3.3[ & 3.275 & 0 & 0 & 0.440476 & 0 \tabularnewline
[3.3,3.35[ & 3.325 & 36 & 0.428571 & 0.869048 & 8.571429 \tabularnewline
[3.35,3.4[ & 3.375 & 0 & 0 & 0.869048 & 0 \tabularnewline
[3.4,3.45[ & 3.425 & 0 & 0 & 0.869048 & 0 \tabularnewline
[3.45,3.5] & 3.475 & 11 & 0.130952 & 1 & 2.619048 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=233461&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][2.9,2.95[[/C][C]2.925[/C][C]1[/C][C]0.011905[/C][C]0.011905[/C][C]0.238095[/C][/ROW]
[ROW][C][2.95,3[[/C][C]2.975[/C][C]0[/C][C]0[/C][C]0.011905[/C][C]0[/C][/ROW]
[ROW][C][3,3.05[[/C][C]3.025[/C][C]24[/C][C]0.285714[/C][C]0.297619[/C][C]5.714286[/C][/ROW]
[ROW][C][3.05,3.1[[/C][C]3.075[/C][C]0[/C][C]0[/C][C]0.297619[/C][C]0[/C][/ROW]
[ROW][C][3.1,3.15[[/C][C]3.125[/C][C]12[/C][C]0.142857[/C][C]0.440476[/C][C]2.857143[/C][/ROW]
[ROW][C][3.15,3.2[[/C][C]3.175[/C][C]0[/C][C]0[/C][C]0.440476[/C][C]0[/C][/ROW]
[ROW][C][3.2,3.25[[/C][C]3.225[/C][C]0[/C][C]0[/C][C]0.440476[/C][C]0[/C][/ROW]
[ROW][C][3.25,3.3[[/C][C]3.275[/C][C]0[/C][C]0[/C][C]0.440476[/C][C]0[/C][/ROW]
[ROW][C][3.3,3.35[[/C][C]3.325[/C][C]36[/C][C]0.428571[/C][C]0.869048[/C][C]8.571429[/C][/ROW]
[ROW][C][3.35,3.4[[/C][C]3.375[/C][C]0[/C][C]0[/C][C]0.869048[/C][C]0[/C][/ROW]
[ROW][C][3.4,3.45[[/C][C]3.425[/C][C]0[/C][C]0[/C][C]0.869048[/C][C]0[/C][/ROW]
[ROW][C][3.45,3.5][/C][C]3.475[/C][C]11[/C][C]0.130952[/C][C]1[/C][C]2.619048[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=233461&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=233461&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 (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[2.9,2.95[	2.925	1	0.011905	0.011905	0.238095
[2.95,3[	2.975	0	0	0.011905	0
[3,3.05[	3.025	24	0.285714	0.297619	5.714286
[3.05,3.1[	3.075	0	0	0.297619	0
[3.1,3.15[	3.125	12	0.142857	0.440476	2.857143
[3.15,3.2[	3.175	0	0	0.440476	0
[3.2,3.25[	3.225	0	0	0.440476	0
[3.25,3.3[	3.275	0	0	0.440476	0
[3.3,3.35[	3.325	36	0.428571	0.869048	8.571429
[3.35,3.4[	3.375	0	0	0.869048	0
[3.4,3.45[	3.425	0	0	0.869048	0
[3.45,3.5]	3.475	11	0.130952	1	2.619048

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 10 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;

Parameters (R input):

par1 = 10 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;

R code (references can be found in the software module):

par4 <- 'Unknown'
par3 <- 'FALSE'
par2 <- 'grey'
par1 <- ''
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')
}

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code