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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, 23 Oct 2015 03:31:25 +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/2015/Oct/23/t1445567739ten3ohpg2a7v4wy.htm/, Retrieved Tue, 14 May 2024 14:12:53 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=282801, Retrieved Tue, 14 May 2024 14:12:53 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

109

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

-       [Histogram] [Figure 1. Victim ...] [2015-10-23 02:31:25] [d41d8cd98f00b204e9800998ecf8427e] [Current]

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Dataseries X:

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Histogram

Boxplots

1.1
1.4
1.2
0.9
1.2
1
0.9
1.1
0.4
1.1
1.2
1.3
1.2
0.8
0.9
0.5
1.2
0.7
1.1
1.5
1.4
1.2
0.8
0.4
0.9
1
0.8
1.2
1.2
1.2
0.4
1.2
1.2
1.3
0.9
0.7
1.2
1.2
1.2
1.4
0.6
0.2
0.2
0.5
1.2
0.5
0.4
1
0.9
0.7
0.7
1
1.1
0.7
0.5
0.6
1
0.7
1.1
1
1.5
1.5
1
2
1.3
1.4
1
1.4
1.3
0.8
0.7
0.7
1.5
1
0.8
1.1
1.3
1.2
1.1
0.4

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=282801&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=282801&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=282801&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
[0.2,0.4[	0.3	2	0.025	0.025	0.125
[0.4,0.6[	0.5	9	0.1125	0.1375	0.5625
[0.6,0.8[	0.7	10	0.125	0.2625	0.625
[0.8,1[	0.9	11	0.1375	0.4	0.6875
[1,1.2[	1.1	17	0.2125	0.6125	1.0625
[1.2,1.4[	1.3	21	0.2625	0.875	1.3125
[1.4,1.6[	1.5	9	0.1125	0.9875	0.5625
[1.6,1.8[	1.7	0	0	0.9875	0
[1.8,2]	1.9	1	0.0125	1	0.0625

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0.2,0.4[ & 0.3 & 2 & 0.025 & 0.025 & 0.125 \tabularnewline
[0.4,0.6[ & 0.5 & 9 & 0.1125 & 0.1375 & 0.5625 \tabularnewline
[0.6,0.8[ & 0.7 & 10 & 0.125 & 0.2625 & 0.625 \tabularnewline
[0.8,1[ & 0.9 & 11 & 0.1375 & 0.4 & 0.6875 \tabularnewline
[1,1.2[ & 1.1 & 17 & 0.2125 & 0.6125 & 1.0625 \tabularnewline
[1.2,1.4[ & 1.3 & 21 & 0.2625 & 0.875 & 1.3125 \tabularnewline
[1.4,1.6[ & 1.5 & 9 & 0.1125 & 0.9875 & 0.5625 \tabularnewline
[1.6,1.8[ & 1.7 & 0 & 0 & 0.9875 & 0 \tabularnewline
[1.8,2] & 1.9 & 1 & 0.0125 & 1 & 0.0625 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=282801&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][0.2,0.4[[/C][C]0.3[/C][C]2[/C][C]0.025[/C][C]0.025[/C][C]0.125[/C][/ROW]
[ROW][C][0.4,0.6[[/C][C]0.5[/C][C]9[/C][C]0.1125[/C][C]0.1375[/C][C]0.5625[/C][/ROW]
[ROW][C][0.6,0.8[[/C][C]0.7[/C][C]10[/C][C]0.125[/C][C]0.2625[/C][C]0.625[/C][/ROW]
[ROW][C][0.8,1[[/C][C]0.9[/C][C]11[/C][C]0.1375[/C][C]0.4[/C][C]0.6875[/C][/ROW]
[ROW][C][1,1.2[[/C][C]1.1[/C][C]17[/C][C]0.2125[/C][C]0.6125[/C][C]1.0625[/C][/ROW]
[ROW][C][1.2,1.4[[/C][C]1.3[/C][C]21[/C][C]0.2625[/C][C]0.875[/C][C]1.3125[/C][/ROW]
[ROW][C][1.4,1.6[[/C][C]1.5[/C][C]9[/C][C]0.1125[/C][C]0.9875[/C][C]0.5625[/C][/ROW]
[ROW][C][1.6,1.8[[/C][C]1.7[/C][C]0[/C][C]0[/C][C]0.9875[/C][C]0[/C][/ROW]
[ROW][C][1.8,2][/C][C]1.9[/C][C]1[/C][C]0.0125[/C][C]1[/C][C]0.0625[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=282801&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=282801&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
[0.2,0.4[	0.3	2	0.025	0.025	0.125
[0.4,0.6[	0.5	9	0.1125	0.1375	0.5625
[0.6,0.8[	0.7	10	0.125	0.2625	0.625
[0.8,1[	0.9	11	0.1375	0.4	0.6875
[1,1.2[	1.1	17	0.2125	0.6125	1.0625
[1.2,1.4[	1.3	21	0.2625	0.875	1.3125
[1.4,1.6[	1.5	9	0.1125	0.9875	0.5625
[1.6,1.8[	1.7	0	0	0.9875	0
[1.8,2]	1.9	1	0.0125	1	0.0625

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

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

Parameters (R input):

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

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

par4 <- '9-point'
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 {
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