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Author

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R Software Module

rwasp_histogram.wasp

Title produced by software

Histogram

Date of computation

Sun, 13 Nov 2011 13:05:18 -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/2011/Nov/13/t1321207540mfspoqyczebpyoa.htm/, Retrieved Sat, 20 Apr 2024 10:43:41 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=141828, Retrieved Sat, 20 Apr 2024 10:43:41 +0000

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IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

108

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

-     [Histogram] [] [2011-11-13 17:59:35] [14511500b645ce5186c706473940fe45]
- R P     [Histogram] [] [2011-11-13 18:05:18] [87b6e955a128bfb8d1e350b3ce0d281e] [Current]

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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	0 seconds
R Server	'Gwilym Jenkins' @ jenkins.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 & 0 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=141828&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]0 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=141828&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=141828&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	0 seconds
R Server	'Gwilym Jenkins' @ jenkins.wessa.net

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[8,9[	8.5	3	0.025	0.025	0.025
[9,10[	9.5	4	0.033333	0.058333	0.033333
[10,11[	10.5	4	0.033333	0.091667	0.033333
[11,12[	11.5	7	0.058333	0.15	0.058333
[12,13[	12.5	1	0.008333	0.158333	0.008333
[13,14[	13.5	5	0.041667	0.2	0.041667
[14,15[	14.5	7	0.058333	0.258333	0.058333
[15,16[	15.5	4	0.033333	0.291667	0.033333
[16,17[	16.5	6	0.05	0.341667	0.05
[17,18[	17.5	10	0.083333	0.425	0.083333
[18,19[	18.5	8	0.066667	0.491667	0.066667
[19,20[	19.5	14	0.116667	0.608333	0.116667
[20,21[	20.5	10	0.083333	0.691667	0.083333
[21,22[	21.5	11	0.091667	0.783333	0.091667
[22,23[	22.5	5	0.041667	0.825	0.041667
[23,24[	23.5	5	0.041667	0.866667	0.041667
[24,25[	24.5	5	0.041667	0.908333	0.041667
[25,26[	25.5	2	0.016667	0.925	0.016667
[26,27[	26.5	1	0.008333	0.933333	0.008333
[27,28[	27.5	4	0.033333	0.966667	0.033333
[28,29[	28.5	1	0.008333	0.975	0.008333
[29,30[	29.5	2	0.016667	0.991667	0.016667
[30,31]	30.5	1	0.008333	1	0.008333

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[8,9[ & 8.5 & 3 & 0.025 & 0.025 & 0.025 \tabularnewline
[9,10[ & 9.5 & 4 & 0.033333 & 0.058333 & 0.033333 \tabularnewline
[10,11[ & 10.5 & 4 & 0.033333 & 0.091667 & 0.033333 \tabularnewline
[11,12[ & 11.5 & 7 & 0.058333 & 0.15 & 0.058333 \tabularnewline
[12,13[ & 12.5 & 1 & 0.008333 & 0.158333 & 0.008333 \tabularnewline
[13,14[ & 13.5 & 5 & 0.041667 & 0.2 & 0.041667 \tabularnewline
[14,15[ & 14.5 & 7 & 0.058333 & 0.258333 & 0.058333 \tabularnewline
[15,16[ & 15.5 & 4 & 0.033333 & 0.291667 & 0.033333 \tabularnewline
[16,17[ & 16.5 & 6 & 0.05 & 0.341667 & 0.05 \tabularnewline
[17,18[ & 17.5 & 10 & 0.083333 & 0.425 & 0.083333 \tabularnewline
[18,19[ & 18.5 & 8 & 0.066667 & 0.491667 & 0.066667 \tabularnewline
[19,20[ & 19.5 & 14 & 0.116667 & 0.608333 & 0.116667 \tabularnewline
[20,21[ & 20.5 & 10 & 0.083333 & 0.691667 & 0.083333 \tabularnewline
[21,22[ & 21.5 & 11 & 0.091667 & 0.783333 & 0.091667 \tabularnewline
[22,23[ & 22.5 & 5 & 0.041667 & 0.825 & 0.041667 \tabularnewline
[23,24[ & 23.5 & 5 & 0.041667 & 0.866667 & 0.041667 \tabularnewline
[24,25[ & 24.5 & 5 & 0.041667 & 0.908333 & 0.041667 \tabularnewline
[25,26[ & 25.5 & 2 & 0.016667 & 0.925 & 0.016667 \tabularnewline
[26,27[ & 26.5 & 1 & 0.008333 & 0.933333 & 0.008333 \tabularnewline
[27,28[ & 27.5 & 4 & 0.033333 & 0.966667 & 0.033333 \tabularnewline
[28,29[ & 28.5 & 1 & 0.008333 & 0.975 & 0.008333 \tabularnewline
[29,30[ & 29.5 & 2 & 0.016667 & 0.991667 & 0.016667 \tabularnewline
[30,31] & 30.5 & 1 & 0.008333 & 1 & 0.008333 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=141828&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][8,9[[/C][C]8.5[/C][C]3[/C][C]0.025[/C][C]0.025[/C][C]0.025[/C][/ROW]
[ROW][C][9,10[[/C][C]9.5[/C][C]4[/C][C]0.033333[/C][C]0.058333[/C][C]0.033333[/C][/ROW]
[ROW][C][10,11[[/C][C]10.5[/C][C]4[/C][C]0.033333[/C][C]0.091667[/C][C]0.033333[/C][/ROW]
[ROW][C][11,12[[/C][C]11.5[/C][C]7[/C][C]0.058333[/C][C]0.15[/C][C]0.058333[/C][/ROW]
[ROW][C][12,13[[/C][C]12.5[/C][C]1[/C][C]0.008333[/C][C]0.158333[/C][C]0.008333[/C][/ROW]
[ROW][C][13,14[[/C][C]13.5[/C][C]5[/C][C]0.041667[/C][C]0.2[/C][C]0.041667[/C][/ROW]
[ROW][C][14,15[[/C][C]14.5[/C][C]7[/C][C]0.058333[/C][C]0.258333[/C][C]0.058333[/C][/ROW]
[ROW][C][15,16[[/C][C]15.5[/C][C]4[/C][C]0.033333[/C][C]0.291667[/C][C]0.033333[/C][/ROW]
[ROW][C][16,17[[/C][C]16.5[/C][C]6[/C][C]0.05[/C][C]0.341667[/C][C]0.05[/C][/ROW]
[ROW][C][17,18[[/C][C]17.5[/C][C]10[/C][C]0.083333[/C][C]0.425[/C][C]0.083333[/C][/ROW]
[ROW][C][18,19[[/C][C]18.5[/C][C]8[/C][C]0.066667[/C][C]0.491667[/C][C]0.066667[/C][/ROW]
[ROW][C][19,20[[/C][C]19.5[/C][C]14[/C][C]0.116667[/C][C]0.608333[/C][C]0.116667[/C][/ROW]
[ROW][C][20,21[[/C][C]20.5[/C][C]10[/C][C]0.083333[/C][C]0.691667[/C][C]0.083333[/C][/ROW]
[ROW][C][21,22[[/C][C]21.5[/C][C]11[/C][C]0.091667[/C][C]0.783333[/C][C]0.091667[/C][/ROW]
[ROW][C][22,23[[/C][C]22.5[/C][C]5[/C][C]0.041667[/C][C]0.825[/C][C]0.041667[/C][/ROW]
[ROW][C][23,24[[/C][C]23.5[/C][C]5[/C][C]0.041667[/C][C]0.866667[/C][C]0.041667[/C][/ROW]
[ROW][C][24,25[[/C][C]24.5[/C][C]5[/C][C]0.041667[/C][C]0.908333[/C][C]0.041667[/C][/ROW]
[ROW][C][25,26[[/C][C]25.5[/C][C]2[/C][C]0.016667[/C][C]0.925[/C][C]0.016667[/C][/ROW]
[ROW][C][26,27[[/C][C]26.5[/C][C]1[/C][C]0.008333[/C][C]0.933333[/C][C]0.008333[/C][/ROW]
[ROW][C][27,28[[/C][C]27.5[/C][C]4[/C][C]0.033333[/C][C]0.966667[/C][C]0.033333[/C][/ROW]
[ROW][C][28,29[[/C][C]28.5[/C][C]1[/C][C]0.008333[/C][C]0.975[/C][C]0.008333[/C][/ROW]
[ROW][C][29,30[[/C][C]29.5[/C][C]2[/C][C]0.016667[/C][C]0.991667[/C][C]0.016667[/C][/ROW]
[ROW][C][30,31][/C][C]30.5[/C][C]1[/C][C]0.008333[/C][C]1[/C][C]0.008333[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=141828&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=141828&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
[8,9[	8.5	3	0.025	0.025	0.025
[9,10[	9.5	4	0.033333	0.058333	0.033333
[10,11[	10.5	4	0.033333	0.091667	0.033333
[11,12[	11.5	7	0.058333	0.15	0.058333
[12,13[	12.5	1	0.008333	0.158333	0.008333
[13,14[	13.5	5	0.041667	0.2	0.041667
[14,15[	14.5	7	0.058333	0.258333	0.058333
[15,16[	15.5	4	0.033333	0.291667	0.033333
[16,17[	16.5	6	0.05	0.341667	0.05
[17,18[	17.5	10	0.083333	0.425	0.083333
[18,19[	18.5	8	0.066667	0.491667	0.066667
[19,20[	19.5	14	0.116667	0.608333	0.116667
[20,21[	20.5	10	0.083333	0.691667	0.083333
[21,22[	21.5	11	0.091667	0.783333	0.091667
[22,23[	22.5	5	0.041667	0.825	0.041667
[23,24[	23.5	5	0.041667	0.866667	0.041667
[24,25[	24.5	5	0.041667	0.908333	0.041667
[25,26[	25.5	2	0.016667	0.925	0.016667
[26,27[	26.5	1	0.008333	0.933333	0.008333
[27,28[	27.5	4	0.033333	0.966667	0.033333
[28,29[	28.5	1	0.008333	0.975	0.008333
[29,30[	29.5	2	0.016667	0.991667	0.016667
[30,31]	30.5	1	0.008333	1	0.008333

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 0.2 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;

Parameters (R input):

par1 = 20 ; 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 {
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