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Author's title

Author

*Unverified author*

R Software Module

rwasp_histogram.wasp

Title produced by software

Histogram

Date of computation

Wed, 04 Feb 2015 10:28:24 +0000

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/2015/Feb/04/t142304578570n3781er9mkbgc.htm/, Retrieved Sat, 18 May 2024 05:31:48 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=276586, Retrieved Sat, 18 May 2024 05:31:48 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

140

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

-     [Univariate Data Series] [Aandeel textiel e...] [2015-01-26 10:56:39] [789d1192644f8dd118bad6e04911be7e]
- RMP     [Histogram] [] [2015-02-04 10:28:24] [3b0947f879d0db9a6034293524e1b6d0] [Current]

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Dataseries X:

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Histogram

Boxplots

6
6.7
-0.6
5.8
16.4
1.5
5.1
14.7
4.3
1.5
9.1
4.3
5.7
13
14.5
9.7
-4.7
7.3
5.2
-2.5
11.5
4.9
-2.4
-0.3
4.4
7.9
-9.7
-4.1
16.4
-4.9
3.5
3.8
-0.2
3.1
0.7
-2.8
5.9
-5.3
-2.9
6.6
-8.1
1.3
6.9
-7.2
-1.9
4
-5.7
3.9
-7.6
-0.9
7.3
-3.7
-2.5
9.3
1.3
9.5
11.3
-1.7
8
-4.8
1.6
1.9
-0.9
5.5
1.7
-5.4
1.9
0.2
-13.3
-8.2
0.2
5.7
-1.2
-2.8
5.5
-17.3
1.4
-2.2
-8.6
-5
4.1
0.7
-4.2
-2.3
-3.4
-4.2
-14.2
1.6
-4.9
-1.8
-0.5
-2.3
-5.3
-0.2
5.1
-1.5

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=276586&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=276586&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=276586&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
[-18,-16[	-17	1	0.010417	0.010417	0.005208
[-16,-14[	-15	1	0.010417	0.020833	0.005208
[-14,-12[	-13	1	0.010417	0.03125	0.005208
[-12,-10[	-11	0	0	0.03125	0
[-10,-8[	-9	4	0.041667	0.072917	0.020833
[-8,-6[	-7	2	0.020833	0.09375	0.010417
[-6,-4[	-5	12	0.125	0.21875	0.0625
[-4,-2[	-3	11	0.114583	0.333333	0.057292
[-2,0[	-1	12	0.125	0.458333	0.0625
[0,2[	1	14	0.145833	0.604167	0.072917
[2,4[	3	4	0.041667	0.645833	0.020833
[4,6[	5	15	0.15625	0.802083	0.078125
[6,8[	7	7	0.072917	0.875	0.036458
[8,10[	9	5	0.052083	0.927083	0.026042
[10,12[	11	2	0.020833	0.947917	0.010417
[12,14[	13	1	0.010417	0.958333	0.005208
[14,16[	15	2	0.020833	0.979167	0.010417
[16,18]	17	2	0.020833	1	0.010417

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[-18,-16[ & -17 & 1 & 0.010417 & 0.010417 & 0.005208 \tabularnewline
[-16,-14[ & -15 & 1 & 0.010417 & 0.020833 & 0.005208 \tabularnewline
[-14,-12[ & -13 & 1 & 0.010417 & 0.03125 & 0.005208 \tabularnewline
[-12,-10[ & -11 & 0 & 0 & 0.03125 & 0 \tabularnewline
[-10,-8[ & -9 & 4 & 0.041667 & 0.072917 & 0.020833 \tabularnewline
[-8,-6[ & -7 & 2 & 0.020833 & 0.09375 & 0.010417 \tabularnewline
[-6,-4[ & -5 & 12 & 0.125 & 0.21875 & 0.0625 \tabularnewline
[-4,-2[ & -3 & 11 & 0.114583 & 0.333333 & 0.057292 \tabularnewline
[-2,0[ & -1 & 12 & 0.125 & 0.458333 & 0.0625 \tabularnewline
[0,2[ & 1 & 14 & 0.145833 & 0.604167 & 0.072917 \tabularnewline
[2,4[ & 3 & 4 & 0.041667 & 0.645833 & 0.020833 \tabularnewline
[4,6[ & 5 & 15 & 0.15625 & 0.802083 & 0.078125 \tabularnewline
[6,8[ & 7 & 7 & 0.072917 & 0.875 & 0.036458 \tabularnewline
[8,10[ & 9 & 5 & 0.052083 & 0.927083 & 0.026042 \tabularnewline
[10,12[ & 11 & 2 & 0.020833 & 0.947917 & 0.010417 \tabularnewline
[12,14[ & 13 & 1 & 0.010417 & 0.958333 & 0.005208 \tabularnewline
[14,16[ & 15 & 2 & 0.020833 & 0.979167 & 0.010417 \tabularnewline
[16,18] & 17 & 2 & 0.020833 & 1 & 0.010417 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=276586&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][-18,-16[[/C][C]-17[/C][C]1[/C][C]0.010417[/C][C]0.010417[/C][C]0.005208[/C][/ROW]
[ROW][C][-16,-14[[/C][C]-15[/C][C]1[/C][C]0.010417[/C][C]0.020833[/C][C]0.005208[/C][/ROW]
[ROW][C][-14,-12[[/C][C]-13[/C][C]1[/C][C]0.010417[/C][C]0.03125[/C][C]0.005208[/C][/ROW]
[ROW][C][-12,-10[[/C][C]-11[/C][C]0[/C][C]0[/C][C]0.03125[/C][C]0[/C][/ROW]
[ROW][C][-10,-8[[/C][C]-9[/C][C]4[/C][C]0.041667[/C][C]0.072917[/C][C]0.020833[/C][/ROW]
[ROW][C][-8,-6[[/C][C]-7[/C][C]2[/C][C]0.020833[/C][C]0.09375[/C][C]0.010417[/C][/ROW]
[ROW][C][-6,-4[[/C][C]-5[/C][C]12[/C][C]0.125[/C][C]0.21875[/C][C]0.0625[/C][/ROW]
[ROW][C][-4,-2[[/C][C]-3[/C][C]11[/C][C]0.114583[/C][C]0.333333[/C][C]0.057292[/C][/ROW]
[ROW][C][-2,0[[/C][C]-1[/C][C]12[/C][C]0.125[/C][C]0.458333[/C][C]0.0625[/C][/ROW]
[ROW][C][0,2[[/C][C]1[/C][C]14[/C][C]0.145833[/C][C]0.604167[/C][C]0.072917[/C][/ROW]
[ROW][C][2,4[[/C][C]3[/C][C]4[/C][C]0.041667[/C][C]0.645833[/C][C]0.020833[/C][/ROW]
[ROW][C][4,6[[/C][C]5[/C][C]15[/C][C]0.15625[/C][C]0.802083[/C][C]0.078125[/C][/ROW]
[ROW][C][6,8[[/C][C]7[/C][C]7[/C][C]0.072917[/C][C]0.875[/C][C]0.036458[/C][/ROW]
[ROW][C][8,10[[/C][C]9[/C][C]5[/C][C]0.052083[/C][C]0.927083[/C][C]0.026042[/C][/ROW]
[ROW][C][10,12[[/C][C]11[/C][C]2[/C][C]0.020833[/C][C]0.947917[/C][C]0.010417[/C][/ROW]
[ROW][C][12,14[[/C][C]13[/C][C]1[/C][C]0.010417[/C][C]0.958333[/C][C]0.005208[/C][/ROW]
[ROW][C][14,16[[/C][C]15[/C][C]2[/C][C]0.020833[/C][C]0.979167[/C][C]0.010417[/C][/ROW]
[ROW][C][16,18][/C][C]17[/C][C]2[/C][C]0.020833[/C][C]1[/C][C]0.010417[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=276586&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=276586&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
[-18,-16[	-17	1	0.010417	0.010417	0.005208
[-16,-14[	-15	1	0.010417	0.020833	0.005208
[-14,-12[	-13	1	0.010417	0.03125	0.005208
[-12,-10[	-11	0	0	0.03125	0
[-10,-8[	-9	4	0.041667	0.072917	0.020833
[-8,-6[	-7	2	0.020833	0.09375	0.010417
[-6,-4[	-5	12	0.125	0.21875	0.0625
[-4,-2[	-3	11	0.114583	0.333333	0.057292
[-2,0[	-1	12	0.125	0.458333	0.0625
[0,2[	1	14	0.145833	0.604167	0.072917
[2,4[	3	4	0.041667	0.645833	0.020833
[4,6[	5	15	0.15625	0.802083	0.078125
[6,8[	7	7	0.072917	0.875	0.036458
[8,10[	9	5	0.052083	0.927083	0.026042
[10,12[	11	2	0.020833	0.947917	0.010417
[12,14[	13	1	0.010417	0.958333	0.005208
[14,16[	15	2	0.020833	0.979167	0.010417
[16,18]	17	2	0.020833	1	0.010417

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 14 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;

Parameters (R input):

par1 = 14 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;

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

par4 <- 'Unknown'
par3 <- 'FALSE'
par2 <- 'grey'
par1 <- '12'
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