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Author's title

Author

*Unverified author*

R Software Module

rwasp_histogram.wasp

Title produced by software

Histogram

Date of computation

Tue, 12 Feb 2013 14:15:03 -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/2013/Feb/12/t13606968099r734vfnf26vven.htm/, Retrieved Sun, 28 Apr 2024 23:56:24 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=206437, Retrieved Sun, 28 Apr 2024 23:56:24 +0000

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Original text written by user:

Uit de histogram 2 blijkt dat de meest voorkomende prijs voor een maaltijd in een restaurant tussen de 10.5-10.55� ligt. Histogram 1 geeft ongeveer het zelfde weer 10.4-10.6�

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

117

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

-     [Univariate Data Series] [Gemiddelde consum...] [2013-02-04 23:50:25] [812272bcf10cd97986bd11f9adf3f369]
- R PD  [Univariate Data Series] [] [2013-02-12 13:22:58] [812272bcf10cd97986bd11f9adf3f369]
- RMPD      [Histogram] [Maaltijd in resta...] [2013-02-12 19:15:03] [1f4ca98ed28755372cdf3133ccb2c2d2] [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	'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 & 1 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=206437&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=206437&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=206437&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	'Gertrude Mary Cox' @ cox.wessa.net

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[9.05,9.1[	9.075	1	0.013889	0.013889	0.277778
[9.1,9.15[	9.125	4	0.055556	0.069444	1.111111
[9.15,9.2[	9.175	1	0.013889	0.083333	0.277778
[9.2,9.25[	9.225	3	0.041667	0.125	0.833333
[9.25,9.3[	9.275	1	0.013889	0.138889	0.277778
[9.3,9.35[	9.325	3	0.041667	0.180556	0.833333
[9.35,9.4[	9.375	3	0.041667	0.222222	0.833333
[9.4,9.45[	9.425	4	0.055556	0.277778	1.111111
[9.45,9.5[	9.475	2	0.027778	0.305556	0.555556
[9.5,9.55[	9.525	0	0	0.305556	0
[9.55,9.6[	9.575	4	0.055556	0.361111	1.111111
[9.6,9.65[	9.625	0	0	0.361111	0
[9.65,9.7[	9.675	0	0	0.361111	0
[9.7,9.75[	9.725	2	0.027778	0.388889	0.555556
[9.75,9.8[	9.775	2	0.027778	0.416667	0.555556
[9.8,9.85[	9.825	1	0.013889	0.430556	0.277778
[9.85,9.9[	9.875	1	0.013889	0.444444	0.277778
[9.9,9.95[	9.925	0	0	0.444444	0
[9.95,10[	9.975	5	0.069444	0.513889	1.388889
[10,10.05[	10.025	1	0.013889	0.527778	0.277778
[10.05,10.1[	10.075	2	0.027778	0.555556	0.555556
[10.1,10.15[	10.125	2	0.027778	0.583333	0.555556
[10.15,10.2[	10.175	1	0.013889	0.597222	0.277778
[10.2,10.25[	10.225	1	0.013889	0.611111	0.277778
[10.25,10.3[	10.275	3	0.041667	0.652778	0.833333
[10.3,10.35[	10.325	5	0.069444	0.722222	1.388889
[10.35,10.4[	10.375	1	0.013889	0.736111	0.277778
[10.4,10.45[	10.425	6	0.083333	0.819444	1.666667
[10.45,10.5[	10.475	4	0.055556	0.875	1.111111
[10.5,10.55]	10.525	9	0.125	1	2.5

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[9.05,9.1[ & 9.075 & 1 & 0.013889 & 0.013889 & 0.277778 \tabularnewline
[9.1,9.15[ & 9.125 & 4 & 0.055556 & 0.069444 & 1.111111 \tabularnewline
[9.15,9.2[ & 9.175 & 1 & 0.013889 & 0.083333 & 0.277778 \tabularnewline
[9.2,9.25[ & 9.225 & 3 & 0.041667 & 0.125 & 0.833333 \tabularnewline
[9.25,9.3[ & 9.275 & 1 & 0.013889 & 0.138889 & 0.277778 \tabularnewline
[9.3,9.35[ & 9.325 & 3 & 0.041667 & 0.180556 & 0.833333 \tabularnewline
[9.35,9.4[ & 9.375 & 3 & 0.041667 & 0.222222 & 0.833333 \tabularnewline
[9.4,9.45[ & 9.425 & 4 & 0.055556 & 0.277778 & 1.111111 \tabularnewline
[9.45,9.5[ & 9.475 & 2 & 0.027778 & 0.305556 & 0.555556 \tabularnewline
[9.5,9.55[ & 9.525 & 0 & 0 & 0.305556 & 0 \tabularnewline
[9.55,9.6[ & 9.575 & 4 & 0.055556 & 0.361111 & 1.111111 \tabularnewline
[9.6,9.65[ & 9.625 & 0 & 0 & 0.361111 & 0 \tabularnewline
[9.65,9.7[ & 9.675 & 0 & 0 & 0.361111 & 0 \tabularnewline
[9.7,9.75[ & 9.725 & 2 & 0.027778 & 0.388889 & 0.555556 \tabularnewline
[9.75,9.8[ & 9.775 & 2 & 0.027778 & 0.416667 & 0.555556 \tabularnewline
[9.8,9.85[ & 9.825 & 1 & 0.013889 & 0.430556 & 0.277778 \tabularnewline
[9.85,9.9[ & 9.875 & 1 & 0.013889 & 0.444444 & 0.277778 \tabularnewline
[9.9,9.95[ & 9.925 & 0 & 0 & 0.444444 & 0 \tabularnewline
[9.95,10[ & 9.975 & 5 & 0.069444 & 0.513889 & 1.388889 \tabularnewline
[10,10.05[ & 10.025 & 1 & 0.013889 & 0.527778 & 0.277778 \tabularnewline
[10.05,10.1[ & 10.075 & 2 & 0.027778 & 0.555556 & 0.555556 \tabularnewline
[10.1,10.15[ & 10.125 & 2 & 0.027778 & 0.583333 & 0.555556 \tabularnewline
[10.15,10.2[ & 10.175 & 1 & 0.013889 & 0.597222 & 0.277778 \tabularnewline
[10.2,10.25[ & 10.225 & 1 & 0.013889 & 0.611111 & 0.277778 \tabularnewline
[10.25,10.3[ & 10.275 & 3 & 0.041667 & 0.652778 & 0.833333 \tabularnewline
[10.3,10.35[ & 10.325 & 5 & 0.069444 & 0.722222 & 1.388889 \tabularnewline
[10.35,10.4[ & 10.375 & 1 & 0.013889 & 0.736111 & 0.277778 \tabularnewline
[10.4,10.45[ & 10.425 & 6 & 0.083333 & 0.819444 & 1.666667 \tabularnewline
[10.45,10.5[ & 10.475 & 4 & 0.055556 & 0.875 & 1.111111 \tabularnewline
[10.5,10.55] & 10.525 & 9 & 0.125 & 1 & 2.5 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=206437&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][9.05,9.1[[/C][C]9.075[/C][C]1[/C][C]0.013889[/C][C]0.013889[/C][C]0.277778[/C][/ROW]
[ROW][C][9.1,9.15[[/C][C]9.125[/C][C]4[/C][C]0.055556[/C][C]0.069444[/C][C]1.111111[/C][/ROW]
[ROW][C][9.15,9.2[[/C][C]9.175[/C][C]1[/C][C]0.013889[/C][C]0.083333[/C][C]0.277778[/C][/ROW]
[ROW][C][9.2,9.25[[/C][C]9.225[/C][C]3[/C][C]0.041667[/C][C]0.125[/C][C]0.833333[/C][/ROW]
[ROW][C][9.25,9.3[[/C][C]9.275[/C][C]1[/C][C]0.013889[/C][C]0.138889[/C][C]0.277778[/C][/ROW]
[ROW][C][9.3,9.35[[/C][C]9.325[/C][C]3[/C][C]0.041667[/C][C]0.180556[/C][C]0.833333[/C][/ROW]
[ROW][C][9.35,9.4[[/C][C]9.375[/C][C]3[/C][C]0.041667[/C][C]0.222222[/C][C]0.833333[/C][/ROW]
[ROW][C][9.4,9.45[[/C][C]9.425[/C][C]4[/C][C]0.055556[/C][C]0.277778[/C][C]1.111111[/C][/ROW]
[ROW][C][9.45,9.5[[/C][C]9.475[/C][C]2[/C][C]0.027778[/C][C]0.305556[/C][C]0.555556[/C][/ROW]
[ROW][C][9.5,9.55[[/C][C]9.525[/C][C]0[/C][C]0[/C][C]0.305556[/C][C]0[/C][/ROW]
[ROW][C][9.55,9.6[[/C][C]9.575[/C][C]4[/C][C]0.055556[/C][C]0.361111[/C][C]1.111111[/C][/ROW]
[ROW][C][9.6,9.65[[/C][C]9.625[/C][C]0[/C][C]0[/C][C]0.361111[/C][C]0[/C][/ROW]
[ROW][C][9.65,9.7[[/C][C]9.675[/C][C]0[/C][C]0[/C][C]0.361111[/C][C]0[/C][/ROW]
[ROW][C][9.7,9.75[[/C][C]9.725[/C][C]2[/C][C]0.027778[/C][C]0.388889[/C][C]0.555556[/C][/ROW]
[ROW][C][9.75,9.8[[/C][C]9.775[/C][C]2[/C][C]0.027778[/C][C]0.416667[/C][C]0.555556[/C][/ROW]
[ROW][C][9.8,9.85[[/C][C]9.825[/C][C]1[/C][C]0.013889[/C][C]0.430556[/C][C]0.277778[/C][/ROW]
[ROW][C][9.85,9.9[[/C][C]9.875[/C][C]1[/C][C]0.013889[/C][C]0.444444[/C][C]0.277778[/C][/ROW]
[ROW][C][9.9,9.95[[/C][C]9.925[/C][C]0[/C][C]0[/C][C]0.444444[/C][C]0[/C][/ROW]
[ROW][C][9.95,10[[/C][C]9.975[/C][C]5[/C][C]0.069444[/C][C]0.513889[/C][C]1.388889[/C][/ROW]
[ROW][C][10,10.05[[/C][C]10.025[/C][C]1[/C][C]0.013889[/C][C]0.527778[/C][C]0.277778[/C][/ROW]
[ROW][C][10.05,10.1[[/C][C]10.075[/C][C]2[/C][C]0.027778[/C][C]0.555556[/C][C]0.555556[/C][/ROW]
[ROW][C][10.1,10.15[[/C][C]10.125[/C][C]2[/C][C]0.027778[/C][C]0.583333[/C][C]0.555556[/C][/ROW]
[ROW][C][10.15,10.2[[/C][C]10.175[/C][C]1[/C][C]0.013889[/C][C]0.597222[/C][C]0.277778[/C][/ROW]
[ROW][C][10.2,10.25[[/C][C]10.225[/C][C]1[/C][C]0.013889[/C][C]0.611111[/C][C]0.277778[/C][/ROW]
[ROW][C][10.25,10.3[[/C][C]10.275[/C][C]3[/C][C]0.041667[/C][C]0.652778[/C][C]0.833333[/C][/ROW]
[ROW][C][10.3,10.35[[/C][C]10.325[/C][C]5[/C][C]0.069444[/C][C]0.722222[/C][C]1.388889[/C][/ROW]
[ROW][C][10.35,10.4[[/C][C]10.375[/C][C]1[/C][C]0.013889[/C][C]0.736111[/C][C]0.277778[/C][/ROW]
[ROW][C][10.4,10.45[[/C][C]10.425[/C][C]6[/C][C]0.083333[/C][C]0.819444[/C][C]1.666667[/C][/ROW]
[ROW][C][10.45,10.5[[/C][C]10.475[/C][C]4[/C][C]0.055556[/C][C]0.875[/C][C]1.111111[/C][/ROW]
[ROW][C][10.5,10.55][/C][C]10.525[/C][C]9[/C][C]0.125[/C][C]1[/C][C]2.5[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=206437&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=206437&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
[9.05,9.1[	9.075	1	0.013889	0.013889	0.277778
[9.1,9.15[	9.125	4	0.055556	0.069444	1.111111
[9.15,9.2[	9.175	1	0.013889	0.083333	0.277778
[9.2,9.25[	9.225	3	0.041667	0.125	0.833333
[9.25,9.3[	9.275	1	0.013889	0.138889	0.277778
[9.3,9.35[	9.325	3	0.041667	0.180556	0.833333
[9.35,9.4[	9.375	3	0.041667	0.222222	0.833333
[9.4,9.45[	9.425	4	0.055556	0.277778	1.111111
[9.45,9.5[	9.475	2	0.027778	0.305556	0.555556
[9.5,9.55[	9.525	0	0	0.305556	0
[9.55,9.6[	9.575	4	0.055556	0.361111	1.111111
[9.6,9.65[	9.625	0	0	0.361111	0
[9.65,9.7[	9.675	0	0	0.361111	0
[9.7,9.75[	9.725	2	0.027778	0.388889	0.555556
[9.75,9.8[	9.775	2	0.027778	0.416667	0.555556
[9.8,9.85[	9.825	1	0.013889	0.430556	0.277778
[9.85,9.9[	9.875	1	0.013889	0.444444	0.277778
[9.9,9.95[	9.925	0	0	0.444444	0
[9.95,10[	9.975	5	0.069444	0.513889	1.388889
[10,10.05[	10.025	1	0.013889	0.527778	0.277778
[10.05,10.1[	10.075	2	0.027778	0.555556	0.555556
[10.1,10.15[	10.125	2	0.027778	0.583333	0.555556
[10.15,10.2[	10.175	1	0.013889	0.597222	0.277778
[10.2,10.25[	10.225	1	0.013889	0.611111	0.277778
[10.25,10.3[	10.275	3	0.041667	0.652778	0.833333
[10.3,10.35[	10.325	5	0.069444	0.722222	1.388889
[10.35,10.4[	10.375	1	0.013889	0.736111	0.277778
[10.4,10.45[	10.425	6	0.083333	0.819444	1.666667
[10.45,10.5[	10.475	4	0.055556	0.875	1.111111
[10.5,10.55]	10.525	9	0.125	1	2.5

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 100 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;

Parameters (R input):

par1 = 100 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;

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

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