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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, 02 Dec 2012 09:06:30 -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/Dec/02/t1354457203nlc8elqb0j6tw7a.htm/, Retrieved Fri, 26 Apr 2024 00:27:48 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=195512, Retrieved Fri, 26 Apr 2024 00:27:48 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

102

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

-     [Histogram] [Frequentietabel S...] [2012-12-02 13:12:39] [70a82215fc03bdd703b688c510bcab5f]
- R PD    [Histogram] [] [2012-12-02 14:06:30] [50b2e07c322f56d9c76b19a7ea7f6b48] [Current]

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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 Maurice George Kendall' @ kendall.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 Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=195512&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 Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=195512&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=195512&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 Maurice George Kendall' @ kendall.wessa.net

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[9.65,9.7[	9.675	3	0.041667	0.041667	0.833333
[9.7,9.75[	9.725	1	0.013889	0.055556	0.277778
[9.75,9.8[	9.775	13	0.180556	0.236111	3.611111
[9.8,9.85[	9.825	12	0.166667	0.402778	3.333333
[9.85,9.9[	9.875	3	0.041667	0.444444	0.833333
[9.9,9.95[	9.925	5	0.069444	0.513889	1.388889
[9.95,10[	9.975	11	0.152778	0.666667	3.055556
[10,10.05[	10.025	3	0.041667	0.708333	0.833333
[10.05,10.1[	10.075	4	0.055556	0.763889	1.111111
[10.1,10.15[	10.125	4	0.055556	0.819444	1.111111
[10.15,10.2[	10.175	2	0.027778	0.847222	0.555556
[10.2,10.25[	10.225	0	0	0.847222	0
[10.25,10.3[	10.275	1	0.013889	0.861111	0.277778
[10.3,10.35[	10.325	0	0	0.861111	0
[10.35,10.4[	10.375	0	0	0.861111	0
[10.4,10.45[	10.425	1	0.013889	0.875	0.277778
[10.45,10.5[	10.475	3	0.041667	0.916667	0.833333
[10.5,10.55]	10.525	6	0.083333	1	1.666667

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[9.65,9.7[ & 9.675 & 3 & 0.041667 & 0.041667 & 0.833333 \tabularnewline
[9.7,9.75[ & 9.725 & 1 & 0.013889 & 0.055556 & 0.277778 \tabularnewline
[9.75,9.8[ & 9.775 & 13 & 0.180556 & 0.236111 & 3.611111 \tabularnewline
[9.8,9.85[ & 9.825 & 12 & 0.166667 & 0.402778 & 3.333333 \tabularnewline
[9.85,9.9[ & 9.875 & 3 & 0.041667 & 0.444444 & 0.833333 \tabularnewline
[9.9,9.95[ & 9.925 & 5 & 0.069444 & 0.513889 & 1.388889 \tabularnewline
[9.95,10[ & 9.975 & 11 & 0.152778 & 0.666667 & 3.055556 \tabularnewline
[10,10.05[ & 10.025 & 3 & 0.041667 & 0.708333 & 0.833333 \tabularnewline
[10.05,10.1[ & 10.075 & 4 & 0.055556 & 0.763889 & 1.111111 \tabularnewline
[10.1,10.15[ & 10.125 & 4 & 0.055556 & 0.819444 & 1.111111 \tabularnewline
[10.15,10.2[ & 10.175 & 2 & 0.027778 & 0.847222 & 0.555556 \tabularnewline
[10.2,10.25[ & 10.225 & 0 & 0 & 0.847222 & 0 \tabularnewline
[10.25,10.3[ & 10.275 & 1 & 0.013889 & 0.861111 & 0.277778 \tabularnewline
[10.3,10.35[ & 10.325 & 0 & 0 & 0.861111 & 0 \tabularnewline
[10.35,10.4[ & 10.375 & 0 & 0 & 0.861111 & 0 \tabularnewline
[10.4,10.45[ & 10.425 & 1 & 0.013889 & 0.875 & 0.277778 \tabularnewline
[10.45,10.5[ & 10.475 & 3 & 0.041667 & 0.916667 & 0.833333 \tabularnewline
[10.5,10.55] & 10.525 & 6 & 0.083333 & 1 & 1.666667 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=195512&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][9.65,9.7[[/C][C]9.675[/C][C]3[/C][C]0.041667[/C][C]0.041667[/C][C]0.833333[/C][/ROW]
[ROW][C][9.7,9.75[[/C][C]9.725[/C][C]1[/C][C]0.013889[/C][C]0.055556[/C][C]0.277778[/C][/ROW]
[ROW][C][9.75,9.8[[/C][C]9.775[/C][C]13[/C][C]0.180556[/C][C]0.236111[/C][C]3.611111[/C][/ROW]
[ROW][C][9.8,9.85[[/C][C]9.825[/C][C]12[/C][C]0.166667[/C][C]0.402778[/C][C]3.333333[/C][/ROW]
[ROW][C][9.85,9.9[[/C][C]9.875[/C][C]3[/C][C]0.041667[/C][C]0.444444[/C][C]0.833333[/C][/ROW]
[ROW][C][9.9,9.95[[/C][C]9.925[/C][C]5[/C][C]0.069444[/C][C]0.513889[/C][C]1.388889[/C][/ROW]
[ROW][C][9.95,10[[/C][C]9.975[/C][C]11[/C][C]0.152778[/C][C]0.666667[/C][C]3.055556[/C][/ROW]
[ROW][C][10,10.05[[/C][C]10.025[/C][C]3[/C][C]0.041667[/C][C]0.708333[/C][C]0.833333[/C][/ROW]
[ROW][C][10.05,10.1[[/C][C]10.075[/C][C]4[/C][C]0.055556[/C][C]0.763889[/C][C]1.111111[/C][/ROW]
[ROW][C][10.1,10.15[[/C][C]10.125[/C][C]4[/C][C]0.055556[/C][C]0.819444[/C][C]1.111111[/C][/ROW]
[ROW][C][10.15,10.2[[/C][C]10.175[/C][C]2[/C][C]0.027778[/C][C]0.847222[/C][C]0.555556[/C][/ROW]
[ROW][C][10.2,10.25[[/C][C]10.225[/C][C]0[/C][C]0[/C][C]0.847222[/C][C]0[/C][/ROW]
[ROW][C][10.25,10.3[[/C][C]10.275[/C][C]1[/C][C]0.013889[/C][C]0.861111[/C][C]0.277778[/C][/ROW]
[ROW][C][10.3,10.35[[/C][C]10.325[/C][C]0[/C][C]0[/C][C]0.861111[/C][C]0[/C][/ROW]
[ROW][C][10.35,10.4[[/C][C]10.375[/C][C]0[/C][C]0[/C][C]0.861111[/C][C]0[/C][/ROW]
[ROW][C][10.4,10.45[[/C][C]10.425[/C][C]1[/C][C]0.013889[/C][C]0.875[/C][C]0.277778[/C][/ROW]
[ROW][C][10.45,10.5[[/C][C]10.475[/C][C]3[/C][C]0.041667[/C][C]0.916667[/C][C]0.833333[/C][/ROW]
[ROW][C][10.5,10.55][/C][C]10.525[/C][C]6[/C][C]0.083333[/C][C]1[/C][C]1.666667[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=195512&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=195512&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
[9.65,9.7[	9.675	3	0.041667	0.041667	0.833333
[9.7,9.75[	9.725	1	0.013889	0.055556	0.277778
[9.75,9.8[	9.775	13	0.180556	0.236111	3.611111
[9.8,9.85[	9.825	12	0.166667	0.402778	3.333333
[9.85,9.9[	9.875	3	0.041667	0.444444	0.833333
[9.9,9.95[	9.925	5	0.069444	0.513889	1.388889
[9.95,10[	9.975	11	0.152778	0.666667	3.055556
[10,10.05[	10.025	3	0.041667	0.708333	0.833333
[10.05,10.1[	10.075	4	0.055556	0.763889	1.111111
[10.1,10.15[	10.125	4	0.055556	0.819444	1.111111
[10.15,10.2[	10.175	2	0.027778	0.847222	0.555556
[10.2,10.25[	10.225	0	0	0.847222	0
[10.25,10.3[	10.275	1	0.013889	0.861111	0.277778
[10.3,10.35[	10.325	0	0	0.861111	0
[10.35,10.4[	10.375	0	0	0.861111	0
[10.4,10.45[	10.425	1	0.013889	0.875	0.277778
[10.45,10.5[	10.475	3	0.041667	0.916667	0.833333
[10.5,10.55]	10.525	6	0.083333	1	1.666667

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 5 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;

Parameters (R input):

par1 = 30 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;

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

par4 <- 'Unknown'
par3 <- 'FALSE'
par2 <- 'grey'
par1 <- '30'
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