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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, 13 Nov 2016 13:33:23 +0000

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/2016/Nov/13/t1479044061gbjdr6lra7ep65k.htm/, Retrieved Sun, 05 May 2024 14:08:07 +0200

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Sun, 05 May 2024 14:08:07 +0200

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

Dataseries X:

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Histogram

Boxplots

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	'Sir Ronald Aylmer Fisher' @ fisher.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 & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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	'Sir Ronald Aylmer Fisher' @ fisher.wessa.net

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[70,72[	71	2	0.02381	0.02381	0.011905
[72,74[	73	12	0.142857	0.166667	0.071429
[74,76[	75	2	0.02381	0.190476	0.011905
[76,78[	77	11	0.130952	0.321429	0.065476
[78,80[	79	2	0.02381	0.345238	0.011905
[80,82[	81	3	0.035714	0.380952	0.017857
[82,84[	83	9	0.107143	0.488095	0.053571
[84,86[	85	5	0.059524	0.547619	0.029762
[86,88[	87	3	0.035714	0.583333	0.017857
[88,90[	89	1	0.011905	0.595238	0.005952
[90,92[	91	0	0	0.595238	0
[92,94[	93	1	0.011905	0.607143	0.005952
[94,96[	95	4	0.047619	0.654762	0.02381
[96,98[	97	17	0.202381	0.857143	0.10119
[98,100[	99	4	0.047619	0.904762	0.02381
[100,102]	101	8	0.095238	1	0.047619

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[70,72[ & 71 & 2 & 0.02381 & 0.02381 & 0.011905 \tabularnewline
[72,74[ & 73 & 12 & 0.142857 & 0.166667 & 0.071429 \tabularnewline
[74,76[ & 75 & 2 & 0.02381 & 0.190476 & 0.011905 \tabularnewline
[76,78[ & 77 & 11 & 0.130952 & 0.321429 & 0.065476 \tabularnewline
[78,80[ & 79 & 2 & 0.02381 & 0.345238 & 0.011905 \tabularnewline
[80,82[ & 81 & 3 & 0.035714 & 0.380952 & 0.017857 \tabularnewline
[82,84[ & 83 & 9 & 0.107143 & 0.488095 & 0.053571 \tabularnewline
[84,86[ & 85 & 5 & 0.059524 & 0.547619 & 0.029762 \tabularnewline
[86,88[ & 87 & 3 & 0.035714 & 0.583333 & 0.017857 \tabularnewline
[88,90[ & 89 & 1 & 0.011905 & 0.595238 & 0.005952 \tabularnewline
[90,92[ & 91 & 0 & 0 & 0.595238 & 0 \tabularnewline
[92,94[ & 93 & 1 & 0.011905 & 0.607143 & 0.005952 \tabularnewline
[94,96[ & 95 & 4 & 0.047619 & 0.654762 & 0.02381 \tabularnewline
[96,98[ & 97 & 17 & 0.202381 & 0.857143 & 0.10119 \tabularnewline
[98,100[ & 99 & 4 & 0.047619 & 0.904762 & 0.02381 \tabularnewline
[100,102] & 101 & 8 & 0.095238 & 1 & 0.047619 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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][70,72[[/C][C]71[/C][C]2[/C][C]0.02381[/C][C]0.02381[/C][C]0.011905[/C][/ROW]
[ROW][C][72,74[[/C][C]73[/C][C]12[/C][C]0.142857[/C][C]0.166667[/C][C]0.071429[/C][/ROW]
[ROW][C][74,76[[/C][C]75[/C][C]2[/C][C]0.02381[/C][C]0.190476[/C][C]0.011905[/C][/ROW]
[ROW][C][76,78[[/C][C]77[/C][C]11[/C][C]0.130952[/C][C]0.321429[/C][C]0.065476[/C][/ROW]
[ROW][C][78,80[[/C][C]79[/C][C]2[/C][C]0.02381[/C][C]0.345238[/C][C]0.011905[/C][/ROW]
[ROW][C][80,82[[/C][C]81[/C][C]3[/C][C]0.035714[/C][C]0.380952[/C][C]0.017857[/C][/ROW]
[ROW][C][82,84[[/C][C]83[/C][C]9[/C][C]0.107143[/C][C]0.488095[/C][C]0.053571[/C][/ROW]
[ROW][C][84,86[[/C][C]85[/C][C]5[/C][C]0.059524[/C][C]0.547619[/C][C]0.029762[/C][/ROW]
[ROW][C][86,88[[/C][C]87[/C][C]3[/C][C]0.035714[/C][C]0.583333[/C][C]0.017857[/C][/ROW]
[ROW][C][88,90[[/C][C]89[/C][C]1[/C][C]0.011905[/C][C]0.595238[/C][C]0.005952[/C][/ROW]
[ROW][C][90,92[[/C][C]91[/C][C]0[/C][C]0[/C][C]0.595238[/C][C]0[/C][/ROW]
[ROW][C][92,94[[/C][C]93[/C][C]1[/C][C]0.011905[/C][C]0.607143[/C][C]0.005952[/C][/ROW]
[ROW][C][94,96[[/C][C]95[/C][C]4[/C][C]0.047619[/C][C]0.654762[/C][C]0.02381[/C][/ROW]
[ROW][C][96,98[[/C][C]97[/C][C]17[/C][C]0.202381[/C][C]0.857143[/C][C]0.10119[/C][/ROW]
[ROW][C][98,100[[/C][C]99[/C][C]4[/C][C]0.047619[/C][C]0.904762[/C][C]0.02381[/C][/ROW]
[ROW][C][100,102][/C][C]101[/C][C]8[/C][C]0.095238[/C][C]1[/C][C]0.047619[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
[70,72[	71	2	0.02381	0.02381	0.011905
[72,74[	73	12	0.142857	0.166667	0.071429
[74,76[	75	2	0.02381	0.190476	0.011905
[76,78[	77	11	0.130952	0.321429	0.065476
[78,80[	79	2	0.02381	0.345238	0.011905
[80,82[	81	3	0.035714	0.380952	0.017857
[82,84[	83	9	0.107143	0.488095	0.053571
[84,86[	85	5	0.059524	0.547619	0.029762
[86,88[	87	3	0.035714	0.583333	0.017857
[88,90[	89	1	0.011905	0.595238	0.005952
[90,92[	91	0	0	0.595238	0
[92,94[	93	1	0.011905	0.607143	0.005952
[94,96[	95	4	0.047619	0.654762	0.02381
[96,98[	97	17	0.202381	0.857143	0.10119
[98,100[	99	4	0.047619	0.904762	0.02381
[100,102]	101	8	0.095238	1	0.047619

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 12 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;

Parameters (R input):

par1 = 12 ; 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,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