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Author's title

Author

*Unverified author*

R Software Module

rwasp_histogram.wasp

Title produced by software

Histogram

Date of computation

Thu, 29 Sep 2016 21:02:42 +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/Sep/29/t1475179402qxq80f6ihldtcio.htm/, Retrieved Sun, 05 May 2024 05:43:31 +0200

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Sun, 05 May 2024 05:43:31 +0200

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

Dataseries X:

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Histogram

Boxplots

2.32
1.93
0.62
0.6
-0.37
-1.1
-1.68
-0.77
-1.2
-0.97
-0.12
0.26
0.62
0.7
1.65
1.79
2.28
2.46
2.57
2.32
2.91
3.01
2.87
3.11
3.22
3.38
3.52
3.41
3.35
3.68
3.75
3.6
3.56
3.57
3.85
3.48
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

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	'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 & 1 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]1 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	1 seconds
R Server	'Sir Maurice George Kendall' @ kendall.wessa.net

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[-2,-1.5[	-1.75	1	0.011905	0.011905	0.02381
[-1.5,-1[	-1.25	2	0.02381	0.035714	0.047619
[-1,-0.5[	-0.75	3	0.035714	0.071429	0.071429
[-0.5,0[	-0.25	7	0.083333	0.154762	0.166667
[0,0.5[	0.25	8	0.095238	0.25	0.190476
[0.5,1[	0.75	14	0.166667	0.416667	0.333333
[1,1.5[	1.25	9	0.107143	0.52381	0.214286
[1.5,2[	1.75	7	0.083333	0.607143	0.166667
[2,2.5[	2.25	8	0.095238	0.702381	0.190476
[2.5,3[	2.75	7	0.083333	0.785714	0.166667
[3,3.5[	3.25	9	0.107143	0.892857	0.214286
[3.5,4]	3.75	9	0.107143	1	0.214286

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[-2,-1.5[ & -1.75 & 1 & 0.011905 & 0.011905 & 0.02381 \tabularnewline
[-1.5,-1[ & -1.25 & 2 & 0.02381 & 0.035714 & 0.047619 \tabularnewline
[-1,-0.5[ & -0.75 & 3 & 0.035714 & 0.071429 & 0.071429 \tabularnewline
[-0.5,0[ & -0.25 & 7 & 0.083333 & 0.154762 & 0.166667 \tabularnewline
[0,0.5[ & 0.25 & 8 & 0.095238 & 0.25 & 0.190476 \tabularnewline
[0.5,1[ & 0.75 & 14 & 0.166667 & 0.416667 & 0.333333 \tabularnewline
[1,1.5[ & 1.25 & 9 & 0.107143 & 0.52381 & 0.214286 \tabularnewline
[1.5,2[ & 1.75 & 7 & 0.083333 & 0.607143 & 0.166667 \tabularnewline
[2,2.5[ & 2.25 & 8 & 0.095238 & 0.702381 & 0.190476 \tabularnewline
[2.5,3[ & 2.75 & 7 & 0.083333 & 0.785714 & 0.166667 \tabularnewline
[3,3.5[ & 3.25 & 9 & 0.107143 & 0.892857 & 0.214286 \tabularnewline
[3.5,4] & 3.75 & 9 & 0.107143 & 1 & 0.214286 \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][-2,-1.5[[/C][C]-1.75[/C][C]1[/C][C]0.011905[/C][C]0.011905[/C][C]0.02381[/C][/ROW]
[ROW][C][-1.5,-1[[/C][C]-1.25[/C][C]2[/C][C]0.02381[/C][C]0.035714[/C][C]0.047619[/C][/ROW]
[ROW][C][-1,-0.5[[/C][C]-0.75[/C][C]3[/C][C]0.035714[/C][C]0.071429[/C][C]0.071429[/C][/ROW]
[ROW][C][-0.5,0[[/C][C]-0.25[/C][C]7[/C][C]0.083333[/C][C]0.154762[/C][C]0.166667[/C][/ROW]
[ROW][C][0,0.5[[/C][C]0.25[/C][C]8[/C][C]0.095238[/C][C]0.25[/C][C]0.190476[/C][/ROW]
[ROW][C][0.5,1[[/C][C]0.75[/C][C]14[/C][C]0.166667[/C][C]0.416667[/C][C]0.333333[/C][/ROW]
[ROW][C][1,1.5[[/C][C]1.25[/C][C]9[/C][C]0.107143[/C][C]0.52381[/C][C]0.214286[/C][/ROW]
[ROW][C][1.5,2[[/C][C]1.75[/C][C]7[/C][C]0.083333[/C][C]0.607143[/C][C]0.166667[/C][/ROW]
[ROW][C][2,2.5[[/C][C]2.25[/C][C]8[/C][C]0.095238[/C][C]0.702381[/C][C]0.190476[/C][/ROW]
[ROW][C][2.5,3[[/C][C]2.75[/C][C]7[/C][C]0.083333[/C][C]0.785714[/C][C]0.166667[/C][/ROW]
[ROW][C][3,3.5[[/C][C]3.25[/C][C]9[/C][C]0.107143[/C][C]0.892857[/C][C]0.214286[/C][/ROW]
[ROW][C][3.5,4][/C][C]3.75[/C][C]9[/C][C]0.107143[/C][C]1[/C][C]0.214286[/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
[-2,-1.5[	-1.75	1	0.011905	0.011905	0.02381
[-1.5,-1[	-1.25	2	0.02381	0.035714	0.047619
[-1,-0.5[	-0.75	3	0.035714	0.071429	0.071429
[-0.5,0[	-0.25	7	0.083333	0.154762	0.166667
[0,0.5[	0.25	8	0.095238	0.25	0.190476
[0.5,1[	0.75	14	0.166667	0.416667	0.333333
[1,1.5[	1.25	9	0.107143	0.52381	0.214286
[1.5,2[	1.75	7	0.083333	0.607143	0.166667
[2,2.5[	2.25	8	0.095238	0.702381	0.190476
[2.5,3[	2.75	7	0.083333	0.785714	0.166667
[3,3.5[	3.25	9	0.107143	0.892857	0.214286
[3.5,4]	3.75	9	0.107143	1	0.214286

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 11 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;

Parameters (R input):

par1 = 11 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;

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

par4 <- 'Unknown'
par3 <- 'FALSE'
par2 <- 'grey'
par1 <- '4'
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