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Author's title

Author

*Unverified author*

R Software Module

rwasp_histogram.wasp

Title produced by software

Histogram

Date of computation

Fri, 12 Aug 2016 11:59:21 +0100

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/Aug/12/t1471000081a13sy21osl5hwm0.htm/, Retrieved Sun, 05 May 2024 20:15:59 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=296420, Retrieved Sun, 05 May 2024 20:15:59 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

130

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

-     [Univariate Data Series] [Omzet Mentos Aardbei] [2016-07-17 11:11:37] [74be16979710d4c4e7c6647856088456]
-   P   [Univariate Data Series] [Omzet Mentos Aardbei] [2016-08-02 12:13:56] [74be16979710d4c4e7c6647856088456]
-   P     [Univariate Data Series] [] [2016-08-12 10:07:18] [74be16979710d4c4e7c6647856088456]
- R  D      [Univariate Data Series] [] [2016-08-12 10:23:50] [74be16979710d4c4e7c6647856088456]
- RMP           [Histogram] [] [2016-08-12 10:59:21] [d41d8cd98f00b204e9800998ecf8427e] [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	'George Udny Yule' @ yule.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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=296420&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=296420&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=296420&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	'George Udny Yule' @ yule.wessa.net

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[100,150[	125	1	0.008333	0.008333	0.000167
[150,200[	175	2	0.016667	0.025	0.000333
[200,250[	225	8	0.066667	0.091667	0.001333
[250,300[	275	11	0.091667	0.183333	0.001833
[300,350[	325	9	0.075	0.258333	0.0015
[350,400[	375	10	0.083333	0.341667	0.001667
[400,450[	425	9	0.075	0.416667	0.0015
[450,500[	475	3	0.025	0.441667	5e-04
[500,550[	525	9	0.075	0.516667	0.0015
[550,600[	575	1	0.008333	0.525	0.000167
[600,650[	625	1	0.008333	0.533333	0.000167
[650,700[	675	0	0	0.533333	0
[700,750[	725	3	0.025	0.558333	5e-04
[750,800[	775	6	0.05	0.608333	0.001
[800,850[	825	1	0.008333	0.616667	0.000167
[850,900[	875	1	0.008333	0.625	0.000167
[900,950[	925	2	0.016667	0.641667	0.000333
[950,1000[	975	3	0.025	0.666667	5e-04
[1000,1050[	1025	4	0.033333	0.7	0.000667
[1050,1100[	1075	1	0.008333	0.708333	0.000167
[1100,1150[	1125	7	0.058333	0.766667	0.001167
[1150,1200[	1175	2	0.016667	0.783333	0.000333
[1200,1250[	1225	3	0.025	0.808333	5e-04
[1250,1300[	1275	6	0.05	0.858333	0.001
[1300,1350[	1325	3	0.025	0.883333	5e-04
[1350,1400[	1375	1	0.008333	0.891667	0.000167
[1400,1450[	1425	3	0.025	0.916667	5e-04
[1450,1500[	1475	5	0.041667	0.958333	0.000833
[1500,1550[	1525	2	0.016667	0.975	0.000333
[1550,1600[	1575	1	0.008333	0.983333	0.000167
[1600,1650]	1625	2	0.016667	1	0.000333

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[100,150[ & 125 & 1 & 0.008333 & 0.008333 & 0.000167 \tabularnewline
[150,200[ & 175 & 2 & 0.016667 & 0.025 & 0.000333 \tabularnewline
[200,250[ & 225 & 8 & 0.066667 & 0.091667 & 0.001333 \tabularnewline
[250,300[ & 275 & 11 & 0.091667 & 0.183333 & 0.001833 \tabularnewline
[300,350[ & 325 & 9 & 0.075 & 0.258333 & 0.0015 \tabularnewline
[350,400[ & 375 & 10 & 0.083333 & 0.341667 & 0.001667 \tabularnewline
[400,450[ & 425 & 9 & 0.075 & 0.416667 & 0.0015 \tabularnewline
[450,500[ & 475 & 3 & 0.025 & 0.441667 & 5e-04 \tabularnewline
[500,550[ & 525 & 9 & 0.075 & 0.516667 & 0.0015 \tabularnewline
[550,600[ & 575 & 1 & 0.008333 & 0.525 & 0.000167 \tabularnewline
[600,650[ & 625 & 1 & 0.008333 & 0.533333 & 0.000167 \tabularnewline
[650,700[ & 675 & 0 & 0 & 0.533333 & 0 \tabularnewline
[700,750[ & 725 & 3 & 0.025 & 0.558333 & 5e-04 \tabularnewline
[750,800[ & 775 & 6 & 0.05 & 0.608333 & 0.001 \tabularnewline
[800,850[ & 825 & 1 & 0.008333 & 0.616667 & 0.000167 \tabularnewline
[850,900[ & 875 & 1 & 0.008333 & 0.625 & 0.000167 \tabularnewline
[900,950[ & 925 & 2 & 0.016667 & 0.641667 & 0.000333 \tabularnewline
[950,1000[ & 975 & 3 & 0.025 & 0.666667 & 5e-04 \tabularnewline
[1000,1050[ & 1025 & 4 & 0.033333 & 0.7 & 0.000667 \tabularnewline
[1050,1100[ & 1075 & 1 & 0.008333 & 0.708333 & 0.000167 \tabularnewline
[1100,1150[ & 1125 & 7 & 0.058333 & 0.766667 & 0.001167 \tabularnewline
[1150,1200[ & 1175 & 2 & 0.016667 & 0.783333 & 0.000333 \tabularnewline
[1200,1250[ & 1225 & 3 & 0.025 & 0.808333 & 5e-04 \tabularnewline
[1250,1300[ & 1275 & 6 & 0.05 & 0.858333 & 0.001 \tabularnewline
[1300,1350[ & 1325 & 3 & 0.025 & 0.883333 & 5e-04 \tabularnewline
[1350,1400[ & 1375 & 1 & 0.008333 & 0.891667 & 0.000167 \tabularnewline
[1400,1450[ & 1425 & 3 & 0.025 & 0.916667 & 5e-04 \tabularnewline
[1450,1500[ & 1475 & 5 & 0.041667 & 0.958333 & 0.000833 \tabularnewline
[1500,1550[ & 1525 & 2 & 0.016667 & 0.975 & 0.000333 \tabularnewline
[1550,1600[ & 1575 & 1 & 0.008333 & 0.983333 & 0.000167 \tabularnewline
[1600,1650] & 1625 & 2 & 0.016667 & 1 & 0.000333 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=296420&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][100,150[[/C][C]125[/C][C]1[/C][C]0.008333[/C][C]0.008333[/C][C]0.000167[/C][/ROW]
[ROW][C][150,200[[/C][C]175[/C][C]2[/C][C]0.016667[/C][C]0.025[/C][C]0.000333[/C][/ROW]
[ROW][C][200,250[[/C][C]225[/C][C]8[/C][C]0.066667[/C][C]0.091667[/C][C]0.001333[/C][/ROW]
[ROW][C][250,300[[/C][C]275[/C][C]11[/C][C]0.091667[/C][C]0.183333[/C][C]0.001833[/C][/ROW]
[ROW][C][300,350[[/C][C]325[/C][C]9[/C][C]0.075[/C][C]0.258333[/C][C]0.0015[/C][/ROW]
[ROW][C][350,400[[/C][C]375[/C][C]10[/C][C]0.083333[/C][C]0.341667[/C][C]0.001667[/C][/ROW]
[ROW][C][400,450[[/C][C]425[/C][C]9[/C][C]0.075[/C][C]0.416667[/C][C]0.0015[/C][/ROW]
[ROW][C][450,500[[/C][C]475[/C][C]3[/C][C]0.025[/C][C]0.441667[/C][C]5e-04[/C][/ROW]
[ROW][C][500,550[[/C][C]525[/C][C]9[/C][C]0.075[/C][C]0.516667[/C][C]0.0015[/C][/ROW]
[ROW][C][550,600[[/C][C]575[/C][C]1[/C][C]0.008333[/C][C]0.525[/C][C]0.000167[/C][/ROW]
[ROW][C][600,650[[/C][C]625[/C][C]1[/C][C]0.008333[/C][C]0.533333[/C][C]0.000167[/C][/ROW]
[ROW][C][650,700[[/C][C]675[/C][C]0[/C][C]0[/C][C]0.533333[/C][C]0[/C][/ROW]
[ROW][C][700,750[[/C][C]725[/C][C]3[/C][C]0.025[/C][C]0.558333[/C][C]5e-04[/C][/ROW]
[ROW][C][750,800[[/C][C]775[/C][C]6[/C][C]0.05[/C][C]0.608333[/C][C]0.001[/C][/ROW]
[ROW][C][800,850[[/C][C]825[/C][C]1[/C][C]0.008333[/C][C]0.616667[/C][C]0.000167[/C][/ROW]
[ROW][C][850,900[[/C][C]875[/C][C]1[/C][C]0.008333[/C][C]0.625[/C][C]0.000167[/C][/ROW]
[ROW][C][900,950[[/C][C]925[/C][C]2[/C][C]0.016667[/C][C]0.641667[/C][C]0.000333[/C][/ROW]
[ROW][C][950,1000[[/C][C]975[/C][C]3[/C][C]0.025[/C][C]0.666667[/C][C]5e-04[/C][/ROW]
[ROW][C][1000,1050[[/C][C]1025[/C][C]4[/C][C]0.033333[/C][C]0.7[/C][C]0.000667[/C][/ROW]
[ROW][C][1050,1100[[/C][C]1075[/C][C]1[/C][C]0.008333[/C][C]0.708333[/C][C]0.000167[/C][/ROW]
[ROW][C][1100,1150[[/C][C]1125[/C][C]7[/C][C]0.058333[/C][C]0.766667[/C][C]0.001167[/C][/ROW]
[ROW][C][1150,1200[[/C][C]1175[/C][C]2[/C][C]0.016667[/C][C]0.783333[/C][C]0.000333[/C][/ROW]
[ROW][C][1200,1250[[/C][C]1225[/C][C]3[/C][C]0.025[/C][C]0.808333[/C][C]5e-04[/C][/ROW]
[ROW][C][1250,1300[[/C][C]1275[/C][C]6[/C][C]0.05[/C][C]0.858333[/C][C]0.001[/C][/ROW]
[ROW][C][1300,1350[[/C][C]1325[/C][C]3[/C][C]0.025[/C][C]0.883333[/C][C]5e-04[/C][/ROW]
[ROW][C][1350,1400[[/C][C]1375[/C][C]1[/C][C]0.008333[/C][C]0.891667[/C][C]0.000167[/C][/ROW]
[ROW][C][1400,1450[[/C][C]1425[/C][C]3[/C][C]0.025[/C][C]0.916667[/C][C]5e-04[/C][/ROW]
[ROW][C][1450,1500[[/C][C]1475[/C][C]5[/C][C]0.041667[/C][C]0.958333[/C][C]0.000833[/C][/ROW]
[ROW][C][1500,1550[[/C][C]1525[/C][C]2[/C][C]0.016667[/C][C]0.975[/C][C]0.000333[/C][/ROW]
[ROW][C][1550,1600[[/C][C]1575[/C][C]1[/C][C]0.008333[/C][C]0.983333[/C][C]0.000167[/C][/ROW]
[ROW][C][1600,1650][/C][C]1625[/C][C]2[/C][C]0.016667[/C][C]1[/C][C]0.000333[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=296420&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=296420&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
[100,150[	125	1	0.008333	0.008333	0.000167
[150,200[	175	2	0.016667	0.025	0.000333
[200,250[	225	8	0.066667	0.091667	0.001333
[250,300[	275	11	0.091667	0.183333	0.001833
[300,350[	325	9	0.075	0.258333	0.0015
[350,400[	375	10	0.083333	0.341667	0.001667
[400,450[	425	9	0.075	0.416667	0.0015
[450,500[	475	3	0.025	0.441667	5e-04
[500,550[	525	9	0.075	0.516667	0.0015
[550,600[	575	1	0.008333	0.525	0.000167
[600,650[	625	1	0.008333	0.533333	0.000167
[650,700[	675	0	0	0.533333	0
[700,750[	725	3	0.025	0.558333	5e-04
[750,800[	775	6	0.05	0.608333	0.001
[800,850[	825	1	0.008333	0.616667	0.000167
[850,900[	875	1	0.008333	0.625	0.000167
[900,950[	925	2	0.016667	0.641667	0.000333
[950,1000[	975	3	0.025	0.666667	5e-04
[1000,1050[	1025	4	0.033333	0.7	0.000667
[1050,1100[	1075	1	0.008333	0.708333	0.000167
[1100,1150[	1125	7	0.058333	0.766667	0.001167
[1150,1200[	1175	2	0.016667	0.783333	0.000333
[1200,1250[	1225	3	0.025	0.808333	5e-04
[1250,1300[	1275	6	0.05	0.858333	0.001
[1300,1350[	1325	3	0.025	0.883333	5e-04
[1350,1400[	1375	1	0.008333	0.891667	0.000167
[1400,1450[	1425	3	0.025	0.916667	5e-04
[1450,1500[	1475	5	0.041667	0.958333	0.000833
[1500,1550[	1525	2	0.016667	0.975	0.000333
[1550,1600[	1575	1	0.008333	0.983333	0.000167
[1600,1650]	1625	2	0.016667	1	0.000333

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):

par4 <- 'Unknown'
par3 <- 'FALSE'
par2 <- 'grey'
par1 <- '24'
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