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Author

*Unverified author*

R Software Module

rwasp_histogram.wasp

Title produced by software

Histogram

Date of computation

Wed, 15 Feb 2012 13:05:55 -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/2012/Feb/15/t13293292234x7oih7z8eaojem.htm/, Retrieved Tue, 07 May 2024 13:02:07 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=162525, Retrieved Tue, 07 May 2024 13:02:07 +0000

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Estimated Impact

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

-       [Histogram] [totale indexcijfe...] [2012-02-15 18:05:55] [61c74c688bd5b30d4ef8812aa8043069] [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	'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=162525&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=162525&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=162525&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	'Gertrude Mary Cox' @ cox.wessa.net

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[100,101[	100.5	3	0.05	0.05	0.05
[101,102[	101.5	1	0.016667	0.066667	0.016667
[102,103[	102.5	1	0.016667	0.083333	0.016667
[103,104[	103.5	5	0.083333	0.166667	0.083333
[104,105[	104.5	12	0.2	0.366667	0.2
[105,106[	105.5	1	0.016667	0.383333	0.016667
[106,107[	106.5	2	0.033333	0.416667	0.033333
[107,108[	107.5	2	0.033333	0.45	0.033333
[108,109[	108.5	5	0.083333	0.533333	0.083333
[109,110[	109.5	1	0.016667	0.55	0.016667
[110,111[	110.5	0	0	0.55	0
[111,112[	111.5	0	0	0.55	0
[112,113[	112.5	2	0.033333	0.583333	0.033333
[113,114[	113.5	2	0.033333	0.616667	0.033333
[114,115[	114.5	1	0.016667	0.633333	0.016667
[115,116[	115.5	0	0	0.633333	0
[116,117[	116.5	1	0.016667	0.65	0.016667
[117,118[	117.5	12	0.2	0.85	0.2
[118,119[	118.5	8	0.133333	0.983333	0.133333
[119,120]	119.5	1	0.016667	1	0.016667

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[100,101[ & 100.5 & 3 & 0.05 & 0.05 & 0.05 \tabularnewline
[101,102[ & 101.5 & 1 & 0.016667 & 0.066667 & 0.016667 \tabularnewline
[102,103[ & 102.5 & 1 & 0.016667 & 0.083333 & 0.016667 \tabularnewline
[103,104[ & 103.5 & 5 & 0.083333 & 0.166667 & 0.083333 \tabularnewline
[104,105[ & 104.5 & 12 & 0.2 & 0.366667 & 0.2 \tabularnewline
[105,106[ & 105.5 & 1 & 0.016667 & 0.383333 & 0.016667 \tabularnewline
[106,107[ & 106.5 & 2 & 0.033333 & 0.416667 & 0.033333 \tabularnewline
[107,108[ & 107.5 & 2 & 0.033333 & 0.45 & 0.033333 \tabularnewline
[108,109[ & 108.5 & 5 & 0.083333 & 0.533333 & 0.083333 \tabularnewline
[109,110[ & 109.5 & 1 & 0.016667 & 0.55 & 0.016667 \tabularnewline
[110,111[ & 110.5 & 0 & 0 & 0.55 & 0 \tabularnewline
[111,112[ & 111.5 & 0 & 0 & 0.55 & 0 \tabularnewline
[112,113[ & 112.5 & 2 & 0.033333 & 0.583333 & 0.033333 \tabularnewline
[113,114[ & 113.5 & 2 & 0.033333 & 0.616667 & 0.033333 \tabularnewline
[114,115[ & 114.5 & 1 & 0.016667 & 0.633333 & 0.016667 \tabularnewline
[115,116[ & 115.5 & 0 & 0 & 0.633333 & 0 \tabularnewline
[116,117[ & 116.5 & 1 & 0.016667 & 0.65 & 0.016667 \tabularnewline
[117,118[ & 117.5 & 12 & 0.2 & 0.85 & 0.2 \tabularnewline
[118,119[ & 118.5 & 8 & 0.133333 & 0.983333 & 0.133333 \tabularnewline
[119,120] & 119.5 & 1 & 0.016667 & 1 & 0.016667 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=162525&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][100,101[[/C][C]100.5[/C][C]3[/C][C]0.05[/C][C]0.05[/C][C]0.05[/C][/ROW]
[ROW][C][101,102[[/C][C]101.5[/C][C]1[/C][C]0.016667[/C][C]0.066667[/C][C]0.016667[/C][/ROW]
[ROW][C][102,103[[/C][C]102.5[/C][C]1[/C][C]0.016667[/C][C]0.083333[/C][C]0.016667[/C][/ROW]
[ROW][C][103,104[[/C][C]103.5[/C][C]5[/C][C]0.083333[/C][C]0.166667[/C][C]0.083333[/C][/ROW]
[ROW][C][104,105[[/C][C]104.5[/C][C]12[/C][C]0.2[/C][C]0.366667[/C][C]0.2[/C][/ROW]
[ROW][C][105,106[[/C][C]105.5[/C][C]1[/C][C]0.016667[/C][C]0.383333[/C][C]0.016667[/C][/ROW]
[ROW][C][106,107[[/C][C]106.5[/C][C]2[/C][C]0.033333[/C][C]0.416667[/C][C]0.033333[/C][/ROW]
[ROW][C][107,108[[/C][C]107.5[/C][C]2[/C][C]0.033333[/C][C]0.45[/C][C]0.033333[/C][/ROW]
[ROW][C][108,109[[/C][C]108.5[/C][C]5[/C][C]0.083333[/C][C]0.533333[/C][C]0.083333[/C][/ROW]
[ROW][C][109,110[[/C][C]109.5[/C][C]1[/C][C]0.016667[/C][C]0.55[/C][C]0.016667[/C][/ROW]
[ROW][C][110,111[[/C][C]110.5[/C][C]0[/C][C]0[/C][C]0.55[/C][C]0[/C][/ROW]
[ROW][C][111,112[[/C][C]111.5[/C][C]0[/C][C]0[/C][C]0.55[/C][C]0[/C][/ROW]
[ROW][C][112,113[[/C][C]112.5[/C][C]2[/C][C]0.033333[/C][C]0.583333[/C][C]0.033333[/C][/ROW]
[ROW][C][113,114[[/C][C]113.5[/C][C]2[/C][C]0.033333[/C][C]0.616667[/C][C]0.033333[/C][/ROW]
[ROW][C][114,115[[/C][C]114.5[/C][C]1[/C][C]0.016667[/C][C]0.633333[/C][C]0.016667[/C][/ROW]
[ROW][C][115,116[[/C][C]115.5[/C][C]0[/C][C]0[/C][C]0.633333[/C][C]0[/C][/ROW]
[ROW][C][116,117[[/C][C]116.5[/C][C]1[/C][C]0.016667[/C][C]0.65[/C][C]0.016667[/C][/ROW]
[ROW][C][117,118[[/C][C]117.5[/C][C]12[/C][C]0.2[/C][C]0.85[/C][C]0.2[/C][/ROW]
[ROW][C][118,119[[/C][C]118.5[/C][C]8[/C][C]0.133333[/C][C]0.983333[/C][C]0.133333[/C][/ROW]
[ROW][C][119,120][/C][C]119.5[/C][C]1[/C][C]0.016667[/C][C]1[/C][C]0.016667[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=162525&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=162525&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
[100,101[	100.5	3	0.05	0.05	0.05
[101,102[	101.5	1	0.016667	0.066667	0.016667
[102,103[	102.5	1	0.016667	0.083333	0.016667
[103,104[	103.5	5	0.083333	0.166667	0.083333
[104,105[	104.5	12	0.2	0.366667	0.2
[105,106[	105.5	1	0.016667	0.383333	0.016667
[106,107[	106.5	2	0.033333	0.416667	0.033333
[107,108[	107.5	2	0.033333	0.45	0.033333
[108,109[	108.5	5	0.083333	0.533333	0.083333
[109,110[	109.5	1	0.016667	0.55	0.016667
[110,111[	110.5	0	0	0.55	0
[111,112[	111.5	0	0	0.55	0
[112,113[	112.5	2	0.033333	0.583333	0.033333
[113,114[	113.5	2	0.033333	0.616667	0.033333
[114,115[	114.5	1	0.016667	0.633333	0.016667
[115,116[	115.5	0	0	0.633333	0
[116,117[	116.5	1	0.016667	0.65	0.016667
[117,118[	117.5	12	0.2	0.85	0.2
[118,119[	118.5	8	0.133333	0.983333	0.133333
[119,120]	119.5	1	0.016667	1	0.016667

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 24 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;

Parameters (R input):

par1 = 24 ; 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