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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, 10 Feb 2017 12:08:23 +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/2017/Feb/10/t1486728826t8da5pi16dgdj1w.htm/, Retrieved Mon, 13 May 2024 12:11:33 +0200

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Mon, 13 May 2024 12:11:33 +0200

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Opdracht2_oefening2histo_iko_201617

Estimated Impact

Dataseries X:

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Histogram

Boxplots

3.65
3.66
3.36
3.19
2.81
2.25
2.32
2.85
2.75
2.78
2.26
2.23
1.46
1.19
1.11
1
1.18
1.59
1.51
1.01
0.9
0.63
0.81
0.97
1.14
0.97
0.89
0.62
0.36
0.27
0.34
0.02
-0.12
0.09
-0.11
-0.38
-0.65
-0.4
-0.4
0.29
0.56
0.63
0.46
0.91
1.06
1.28
1.52
1.5
1.74
1.39
2.24
2.04
2.2
2.16
2.28
2.16
1.87
1.81
1.77
2.03
2.65

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	0 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 & 0 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]0 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=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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	0 seconds
R Server	'Sir Maurice George Kendall' @ kendall.wessa.net

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[-0.8,-0.6[	-0.7	1	0.016393	0.016393	0.081967
[-0.6,-0.4[	-0.5	0	0	0.016393	0
[-0.4,-0.2[	-0.3	3	0.04918	0.065574	0.245902
[-0.2,0[	-0.1	2	0.032787	0.098361	0.163934
[0,0.2[	0.1	2	0.032787	0.131148	0.163934
[0.2,0.4[	0.3	4	0.065574	0.196721	0.327869
[0.4,0.6[	0.5	2	0.032787	0.229508	0.163934
[0.6,0.8[	0.7	3	0.04918	0.278689	0.245902
[0.8,1[	0.9	6	0.098361	0.377049	0.491803
[1,1.2[	1.1	7	0.114754	0.491803	0.57377
[1.2,1.4[	1.3	2	0.032787	0.52459	0.163934
[1.4,1.6[	1.5	5	0.081967	0.606557	0.409836
[1.6,1.8[	1.7	2	0.032787	0.639344	0.163934
[1.8,2[	1.9	2	0.032787	0.672131	0.163934
[2,2.2[	2.1	4	0.065574	0.737705	0.327869
[2.2,2.4[	2.3	7	0.114754	0.852459	0.57377
[2.4,2.6[	2.5	0	0	0.852459	0
[2.6,2.8[	2.7	3	0.04918	0.901639	0.245902
[2.8,3[	2.9	2	0.032787	0.934426	0.163934
[3,3.2[	3.1	1	0.016393	0.95082	0.081967
[3.2,3.4[	3.3	1	0.016393	0.967213	0.081967
[3.4,3.6[	3.5	0	0	0.967213	0
[3.6,3.8]	3.7	2	0.032787	1	0.163934

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[-0.8,-0.6[ & -0.7 & 1 & 0.016393 & 0.016393 & 0.081967 \tabularnewline
[-0.6,-0.4[ & -0.5 & 0 & 0 & 0.016393 & 0 \tabularnewline
[-0.4,-0.2[ & -0.3 & 3 & 0.04918 & 0.065574 & 0.245902 \tabularnewline
[-0.2,0[ & -0.1 & 2 & 0.032787 & 0.098361 & 0.163934 \tabularnewline
[0,0.2[ & 0.1 & 2 & 0.032787 & 0.131148 & 0.163934 \tabularnewline
[0.2,0.4[ & 0.3 & 4 & 0.065574 & 0.196721 & 0.327869 \tabularnewline
[0.4,0.6[ & 0.5 & 2 & 0.032787 & 0.229508 & 0.163934 \tabularnewline
[0.6,0.8[ & 0.7 & 3 & 0.04918 & 0.278689 & 0.245902 \tabularnewline
[0.8,1[ & 0.9 & 6 & 0.098361 & 0.377049 & 0.491803 \tabularnewline
[1,1.2[ & 1.1 & 7 & 0.114754 & 0.491803 & 0.57377 \tabularnewline
[1.2,1.4[ & 1.3 & 2 & 0.032787 & 0.52459 & 0.163934 \tabularnewline
[1.4,1.6[ & 1.5 & 5 & 0.081967 & 0.606557 & 0.409836 \tabularnewline
[1.6,1.8[ & 1.7 & 2 & 0.032787 & 0.639344 & 0.163934 \tabularnewline
[1.8,2[ & 1.9 & 2 & 0.032787 & 0.672131 & 0.163934 \tabularnewline
[2,2.2[ & 2.1 & 4 & 0.065574 & 0.737705 & 0.327869 \tabularnewline
[2.2,2.4[ & 2.3 & 7 & 0.114754 & 0.852459 & 0.57377 \tabularnewline
[2.4,2.6[ & 2.5 & 0 & 0 & 0.852459 & 0 \tabularnewline
[2.6,2.8[ & 2.7 & 3 & 0.04918 & 0.901639 & 0.245902 \tabularnewline
[2.8,3[ & 2.9 & 2 & 0.032787 & 0.934426 & 0.163934 \tabularnewline
[3,3.2[ & 3.1 & 1 & 0.016393 & 0.95082 & 0.081967 \tabularnewline
[3.2,3.4[ & 3.3 & 1 & 0.016393 & 0.967213 & 0.081967 \tabularnewline
[3.4,3.6[ & 3.5 & 0 & 0 & 0.967213 & 0 \tabularnewline
[3.6,3.8] & 3.7 & 2 & 0.032787 & 1 & 0.163934 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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][-0.8,-0.6[[/C][C]-0.7[/C][C]1[/C][C]0.016393[/C][C]0.016393[/C][C]0.081967[/C][/ROW]
[ROW][C][-0.6,-0.4[[/C][C]-0.5[/C][C]0[/C][C]0[/C][C]0.016393[/C][C]0[/C][/ROW]
[ROW][C][-0.4,-0.2[[/C][C]-0.3[/C][C]3[/C][C]0.04918[/C][C]0.065574[/C][C]0.245902[/C][/ROW]
[ROW][C][-0.2,0[[/C][C]-0.1[/C][C]2[/C][C]0.032787[/C][C]0.098361[/C][C]0.163934[/C][/ROW]
[ROW][C][0,0.2[[/C][C]0.1[/C][C]2[/C][C]0.032787[/C][C]0.131148[/C][C]0.163934[/C][/ROW]
[ROW][C][0.2,0.4[[/C][C]0.3[/C][C]4[/C][C]0.065574[/C][C]0.196721[/C][C]0.327869[/C][/ROW]
[ROW][C][0.4,0.6[[/C][C]0.5[/C][C]2[/C][C]0.032787[/C][C]0.229508[/C][C]0.163934[/C][/ROW]
[ROW][C][0.6,0.8[[/C][C]0.7[/C][C]3[/C][C]0.04918[/C][C]0.278689[/C][C]0.245902[/C][/ROW]
[ROW][C][0.8,1[[/C][C]0.9[/C][C]6[/C][C]0.098361[/C][C]0.377049[/C][C]0.491803[/C][/ROW]
[ROW][C][1,1.2[[/C][C]1.1[/C][C]7[/C][C]0.114754[/C][C]0.491803[/C][C]0.57377[/C][/ROW]
[ROW][C][1.2,1.4[[/C][C]1.3[/C][C]2[/C][C]0.032787[/C][C]0.52459[/C][C]0.163934[/C][/ROW]
[ROW][C][1.4,1.6[[/C][C]1.5[/C][C]5[/C][C]0.081967[/C][C]0.606557[/C][C]0.409836[/C][/ROW]
[ROW][C][1.6,1.8[[/C][C]1.7[/C][C]2[/C][C]0.032787[/C][C]0.639344[/C][C]0.163934[/C][/ROW]
[ROW][C][1.8,2[[/C][C]1.9[/C][C]2[/C][C]0.032787[/C][C]0.672131[/C][C]0.163934[/C][/ROW]
[ROW][C][2,2.2[[/C][C]2.1[/C][C]4[/C][C]0.065574[/C][C]0.737705[/C][C]0.327869[/C][/ROW]
[ROW][C][2.2,2.4[[/C][C]2.3[/C][C]7[/C][C]0.114754[/C][C]0.852459[/C][C]0.57377[/C][/ROW]
[ROW][C][2.4,2.6[[/C][C]2.5[/C][C]0[/C][C]0[/C][C]0.852459[/C][C]0[/C][/ROW]
[ROW][C][2.6,2.8[[/C][C]2.7[/C][C]3[/C][C]0.04918[/C][C]0.901639[/C][C]0.245902[/C][/ROW]
[ROW][C][2.8,3[[/C][C]2.9[/C][C]2[/C][C]0.032787[/C][C]0.934426[/C][C]0.163934[/C][/ROW]
[ROW][C][3,3.2[[/C][C]3.1[/C][C]1[/C][C]0.016393[/C][C]0.95082[/C][C]0.081967[/C][/ROW]
[ROW][C][3.2,3.4[[/C][C]3.3[/C][C]1[/C][C]0.016393[/C][C]0.967213[/C][C]0.081967[/C][/ROW]
[ROW][C][3.4,3.6[[/C][C]3.5[/C][C]0[/C][C]0[/C][C]0.967213[/C][C]0[/C][/ROW]
[ROW][C][3.6,3.8][/C][C]3.7[/C][C]2[/C][C]0.032787[/C][C]1[/C][C]0.163934[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
[-0.8,-0.6[	-0.7	1	0.016393	0.016393	0.081967
[-0.6,-0.4[	-0.5	0	0	0.016393	0
[-0.4,-0.2[	-0.3	3	0.04918	0.065574	0.245902
[-0.2,0[	-0.1	2	0.032787	0.098361	0.163934
[0,0.2[	0.1	2	0.032787	0.131148	0.163934
[0.2,0.4[	0.3	4	0.065574	0.196721	0.327869
[0.4,0.6[	0.5	2	0.032787	0.229508	0.163934
[0.6,0.8[	0.7	3	0.04918	0.278689	0.245902
[0.8,1[	0.9	6	0.098361	0.377049	0.491803
[1,1.2[	1.1	7	0.114754	0.491803	0.57377
[1.2,1.4[	1.3	2	0.032787	0.52459	0.163934
[1.4,1.6[	1.5	5	0.081967	0.606557	0.409836
[1.6,1.8[	1.7	2	0.032787	0.639344	0.163934
[1.8,2[	1.9	2	0.032787	0.672131	0.163934
[2,2.2[	2.1	4	0.065574	0.737705	0.327869
[2.2,2.4[	2.3	7	0.114754	0.852459	0.57377
[2.4,2.6[	2.5	0	0	0.852459	0
[2.6,2.8[	2.7	3	0.04918	0.901639	0.245902
[2.8,3[	2.9	2	0.032787	0.934426	0.163934
[3,3.2[	3.1	1	0.016393	0.95082	0.081967
[3.2,3.4[	3.3	1	0.016393	0.967213	0.081967
[3.4,3.6[	3.5	0	0	0.967213	0
[3.6,3.8]	3.7	2	0.032787	1	0.163934

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):

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