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Author's title

Author

*Unverified author*

R Software Module

rwasp_histogram.wasp

Title produced by software

Histogram

Date of computation

Mon, 08 Oct 2012 16:25:30 -0400

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/Oct/08/t1349727978rv06lm5msjhp9nt.htm/, Retrieved Thu, 02 May 2024 06:02:26 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=174286, Retrieved Thu, 02 May 2024 06:02:26 +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)

-     [Univariate Data Series] [Stof voor jurk] [2012-09-24 06:45:09] [7819492b06451af540dac2af0ec79590]
- RMPD    [Histogram] [stof voor jurk 25...] [2012-10-08 20:25:30] [2f2dfc06a630b81f17a3d9dd284f5d45] [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	'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=174286&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=174286&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=174286&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
[20.85,20.9[	20.875	1	0.013889	0.013889	0.277778
[20.9,20.95[	20.925	0	0	0.013889	0
[20.95,21[	20.975	0	0	0.013889	0
[21,21.05[	21.025	1	0.013889	0.027778	0.277778
[21.05,21.1[	21.075	1	0.013889	0.041667	0.277778
[21.1,21.15[	21.125	1	0.013889	0.055556	0.277778
[21.15,21.2[	21.175	3	0.041667	0.097222	0.833333
[21.2,21.25[	21.225	3	0.041667	0.138889	0.833333
[21.25,21.3[	21.275	3	0.041667	0.180556	0.833333
[21.3,21.35[	21.325	0	0	0.180556	0
[21.35,21.4[	21.375	0	0	0.180556	0
[21.4,21.45[	21.425	0	0	0.180556	0
[21.45,21.5[	21.475	0	0	0.180556	0
[21.5,21.55[	21.525	1	0.013889	0.194444	0.277778
[21.55,21.6[	21.575	1	0.013889	0.208333	0.277778
[21.6,21.65[	21.625	1	0.013889	0.222222	0.277778
[21.65,21.7[	21.675	4	0.055556	0.277778	1.111111
[21.7,21.75[	21.725	2	0.027778	0.305556	0.555556
[21.75,21.8[	21.775	0	0	0.305556	0
[21.8,21.85[	21.825	1	0.013889	0.319444	0.277778
[21.85,21.9[	21.875	0	0	0.319444	0
[21.9,21.95[	21.925	2	0.027778	0.347222	0.555556
[21.95,22[	21.975	3	0.041667	0.388889	0.833333
[22,22.05[	22.025	2	0.027778	0.416667	0.555556
[22.05,22.1[	22.075	11	0.152778	0.569444	3.055556
[22.1,22.15[	22.125	9	0.125	0.694444	2.5
[22.15,22.2[	22.175	3	0.041667	0.736111	0.833333
[22.2,22.25[	22.225	4	0.055556	0.791667	1.111111
[22.25,22.3[	22.275	8	0.111111	0.902778	2.222222
[22.3,22.35[	22.325	1	0.013889	0.916667	0.277778
[22.35,22.4[	22.375	2	0.027778	0.944444	0.555556
[22.4,22.45]	22.425	4	0.055556	1	1.111111

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[20.85,20.9[ & 20.875 & 1 & 0.013889 & 0.013889 & 0.277778 \tabularnewline
[20.9,20.95[ & 20.925 & 0 & 0 & 0.013889 & 0 \tabularnewline
[20.95,21[ & 20.975 & 0 & 0 & 0.013889 & 0 \tabularnewline
[21,21.05[ & 21.025 & 1 & 0.013889 & 0.027778 & 0.277778 \tabularnewline
[21.05,21.1[ & 21.075 & 1 & 0.013889 & 0.041667 & 0.277778 \tabularnewline
[21.1,21.15[ & 21.125 & 1 & 0.013889 & 0.055556 & 0.277778 \tabularnewline
[21.15,21.2[ & 21.175 & 3 & 0.041667 & 0.097222 & 0.833333 \tabularnewline
[21.2,21.25[ & 21.225 & 3 & 0.041667 & 0.138889 & 0.833333 \tabularnewline
[21.25,21.3[ & 21.275 & 3 & 0.041667 & 0.180556 & 0.833333 \tabularnewline
[21.3,21.35[ & 21.325 & 0 & 0 & 0.180556 & 0 \tabularnewline
[21.35,21.4[ & 21.375 & 0 & 0 & 0.180556 & 0 \tabularnewline
[21.4,21.45[ & 21.425 & 0 & 0 & 0.180556 & 0 \tabularnewline
[21.45,21.5[ & 21.475 & 0 & 0 & 0.180556 & 0 \tabularnewline
[21.5,21.55[ & 21.525 & 1 & 0.013889 & 0.194444 & 0.277778 \tabularnewline
[21.55,21.6[ & 21.575 & 1 & 0.013889 & 0.208333 & 0.277778 \tabularnewline
[21.6,21.65[ & 21.625 & 1 & 0.013889 & 0.222222 & 0.277778 \tabularnewline
[21.65,21.7[ & 21.675 & 4 & 0.055556 & 0.277778 & 1.111111 \tabularnewline
[21.7,21.75[ & 21.725 & 2 & 0.027778 & 0.305556 & 0.555556 \tabularnewline
[21.75,21.8[ & 21.775 & 0 & 0 & 0.305556 & 0 \tabularnewline
[21.8,21.85[ & 21.825 & 1 & 0.013889 & 0.319444 & 0.277778 \tabularnewline
[21.85,21.9[ & 21.875 & 0 & 0 & 0.319444 & 0 \tabularnewline
[21.9,21.95[ & 21.925 & 2 & 0.027778 & 0.347222 & 0.555556 \tabularnewline
[21.95,22[ & 21.975 & 3 & 0.041667 & 0.388889 & 0.833333 \tabularnewline
[22,22.05[ & 22.025 & 2 & 0.027778 & 0.416667 & 0.555556 \tabularnewline
[22.05,22.1[ & 22.075 & 11 & 0.152778 & 0.569444 & 3.055556 \tabularnewline
[22.1,22.15[ & 22.125 & 9 & 0.125 & 0.694444 & 2.5 \tabularnewline
[22.15,22.2[ & 22.175 & 3 & 0.041667 & 0.736111 & 0.833333 \tabularnewline
[22.2,22.25[ & 22.225 & 4 & 0.055556 & 0.791667 & 1.111111 \tabularnewline
[22.25,22.3[ & 22.275 & 8 & 0.111111 & 0.902778 & 2.222222 \tabularnewline
[22.3,22.35[ & 22.325 & 1 & 0.013889 & 0.916667 & 0.277778 \tabularnewline
[22.35,22.4[ & 22.375 & 2 & 0.027778 & 0.944444 & 0.555556 \tabularnewline
[22.4,22.45] & 22.425 & 4 & 0.055556 & 1 & 1.111111 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=174286&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][20.85,20.9[[/C][C]20.875[/C][C]1[/C][C]0.013889[/C][C]0.013889[/C][C]0.277778[/C][/ROW]
[ROW][C][20.9,20.95[[/C][C]20.925[/C][C]0[/C][C]0[/C][C]0.013889[/C][C]0[/C][/ROW]
[ROW][C][20.95,21[[/C][C]20.975[/C][C]0[/C][C]0[/C][C]0.013889[/C][C]0[/C][/ROW]
[ROW][C][21,21.05[[/C][C]21.025[/C][C]1[/C][C]0.013889[/C][C]0.027778[/C][C]0.277778[/C][/ROW]
[ROW][C][21.05,21.1[[/C][C]21.075[/C][C]1[/C][C]0.013889[/C][C]0.041667[/C][C]0.277778[/C][/ROW]
[ROW][C][21.1,21.15[[/C][C]21.125[/C][C]1[/C][C]0.013889[/C][C]0.055556[/C][C]0.277778[/C][/ROW]
[ROW][C][21.15,21.2[[/C][C]21.175[/C][C]3[/C][C]0.041667[/C][C]0.097222[/C][C]0.833333[/C][/ROW]
[ROW][C][21.2,21.25[[/C][C]21.225[/C][C]3[/C][C]0.041667[/C][C]0.138889[/C][C]0.833333[/C][/ROW]
[ROW][C][21.25,21.3[[/C][C]21.275[/C][C]3[/C][C]0.041667[/C][C]0.180556[/C][C]0.833333[/C][/ROW]
[ROW][C][21.3,21.35[[/C][C]21.325[/C][C]0[/C][C]0[/C][C]0.180556[/C][C]0[/C][/ROW]
[ROW][C][21.35,21.4[[/C][C]21.375[/C][C]0[/C][C]0[/C][C]0.180556[/C][C]0[/C][/ROW]
[ROW][C][21.4,21.45[[/C][C]21.425[/C][C]0[/C][C]0[/C][C]0.180556[/C][C]0[/C][/ROW]
[ROW][C][21.45,21.5[[/C][C]21.475[/C][C]0[/C][C]0[/C][C]0.180556[/C][C]0[/C][/ROW]
[ROW][C][21.5,21.55[[/C][C]21.525[/C][C]1[/C][C]0.013889[/C][C]0.194444[/C][C]0.277778[/C][/ROW]
[ROW][C][21.55,21.6[[/C][C]21.575[/C][C]1[/C][C]0.013889[/C][C]0.208333[/C][C]0.277778[/C][/ROW]
[ROW][C][21.6,21.65[[/C][C]21.625[/C][C]1[/C][C]0.013889[/C][C]0.222222[/C][C]0.277778[/C][/ROW]
[ROW][C][21.65,21.7[[/C][C]21.675[/C][C]4[/C][C]0.055556[/C][C]0.277778[/C][C]1.111111[/C][/ROW]
[ROW][C][21.7,21.75[[/C][C]21.725[/C][C]2[/C][C]0.027778[/C][C]0.305556[/C][C]0.555556[/C][/ROW]
[ROW][C][21.75,21.8[[/C][C]21.775[/C][C]0[/C][C]0[/C][C]0.305556[/C][C]0[/C][/ROW]
[ROW][C][21.8,21.85[[/C][C]21.825[/C][C]1[/C][C]0.013889[/C][C]0.319444[/C][C]0.277778[/C][/ROW]
[ROW][C][21.85,21.9[[/C][C]21.875[/C][C]0[/C][C]0[/C][C]0.319444[/C][C]0[/C][/ROW]
[ROW][C][21.9,21.95[[/C][C]21.925[/C][C]2[/C][C]0.027778[/C][C]0.347222[/C][C]0.555556[/C][/ROW]
[ROW][C][21.95,22[[/C][C]21.975[/C][C]3[/C][C]0.041667[/C][C]0.388889[/C][C]0.833333[/C][/ROW]
[ROW][C][22,22.05[[/C][C]22.025[/C][C]2[/C][C]0.027778[/C][C]0.416667[/C][C]0.555556[/C][/ROW]
[ROW][C][22.05,22.1[[/C][C]22.075[/C][C]11[/C][C]0.152778[/C][C]0.569444[/C][C]3.055556[/C][/ROW]
[ROW][C][22.1,22.15[[/C][C]22.125[/C][C]9[/C][C]0.125[/C][C]0.694444[/C][C]2.5[/C][/ROW]
[ROW][C][22.15,22.2[[/C][C]22.175[/C][C]3[/C][C]0.041667[/C][C]0.736111[/C][C]0.833333[/C][/ROW]
[ROW][C][22.2,22.25[[/C][C]22.225[/C][C]4[/C][C]0.055556[/C][C]0.791667[/C][C]1.111111[/C][/ROW]
[ROW][C][22.25,22.3[[/C][C]22.275[/C][C]8[/C][C]0.111111[/C][C]0.902778[/C][C]2.222222[/C][/ROW]
[ROW][C][22.3,22.35[[/C][C]22.325[/C][C]1[/C][C]0.013889[/C][C]0.916667[/C][C]0.277778[/C][/ROW]
[ROW][C][22.35,22.4[[/C][C]22.375[/C][C]2[/C][C]0.027778[/C][C]0.944444[/C][C]0.555556[/C][/ROW]
[ROW][C][22.4,22.45][/C][C]22.425[/C][C]4[/C][C]0.055556[/C][C]1[/C][C]1.111111[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=174286&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=174286&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
[20.85,20.9[	20.875	1	0.013889	0.013889	0.277778
[20.9,20.95[	20.925	0	0	0.013889	0
[20.95,21[	20.975	0	0	0.013889	0
[21,21.05[	21.025	1	0.013889	0.027778	0.277778
[21.05,21.1[	21.075	1	0.013889	0.041667	0.277778
[21.1,21.15[	21.125	1	0.013889	0.055556	0.277778
[21.15,21.2[	21.175	3	0.041667	0.097222	0.833333
[21.2,21.25[	21.225	3	0.041667	0.138889	0.833333
[21.25,21.3[	21.275	3	0.041667	0.180556	0.833333
[21.3,21.35[	21.325	0	0	0.180556	0
[21.35,21.4[	21.375	0	0	0.180556	0
[21.4,21.45[	21.425	0	0	0.180556	0
[21.45,21.5[	21.475	0	0	0.180556	0
[21.5,21.55[	21.525	1	0.013889	0.194444	0.277778
[21.55,21.6[	21.575	1	0.013889	0.208333	0.277778
[21.6,21.65[	21.625	1	0.013889	0.222222	0.277778
[21.65,21.7[	21.675	4	0.055556	0.277778	1.111111
[21.7,21.75[	21.725	2	0.027778	0.305556	0.555556
[21.75,21.8[	21.775	0	0	0.305556	0
[21.8,21.85[	21.825	1	0.013889	0.319444	0.277778
[21.85,21.9[	21.875	0	0	0.319444	0
[21.9,21.95[	21.925	2	0.027778	0.347222	0.555556
[21.95,22[	21.975	3	0.041667	0.388889	0.833333
[22,22.05[	22.025	2	0.027778	0.416667	0.555556
[22.05,22.1[	22.075	11	0.152778	0.569444	3.055556
[22.1,22.15[	22.125	9	0.125	0.694444	2.5
[22.15,22.2[	22.175	3	0.041667	0.736111	0.833333
[22.2,22.25[	22.225	4	0.055556	0.791667	1.111111
[22.25,22.3[	22.275	8	0.111111	0.902778	2.222222
[22.3,22.35[	22.325	1	0.013889	0.916667	0.277778
[22.35,22.4[	22.375	2	0.027778	0.944444	0.555556
[22.4,22.45]	22.425	4	0.055556	1	1.111111

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 25 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;

Parameters (R input):

par1 = 25 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;

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

par4 <- 'Unknown'
par3 <- 'FALSE'
par2 <- 'grey'
par1 <- '25'
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