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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationThu, 22 Dec 2016 19:33:26 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Dec/22/t14824319514q1jhb9j5u0vh84.htm/, Retrieved Mon, 29 Apr 2024 06:42:56 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=302624, Retrieved Mon, 29 Apr 2024 06:42:56 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact82

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Technology Accept...] [2016-12-22 18:33:26] [2ea868439aa9f960cb5a0f1a9b97f873] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
11
9
12
11
12
12
12
12
12
11
12
12
15
13
12
11
13
9
9
11
12
12
12
12
10
12
12
14
12
12
9
13
8
13
12
12
12
12
12
10
12
11
13
13
10
12
13
10
5
13
12
12
5
12
10
12
15
13
12
12
13
13
11
12
9
12
12
13
14
10
12
8
12
12
12
12
10
12
12
12
12
12
13
12
14
10
12
11
13
11
13
12
12
12
13
12
9
20
12
13
14
12
11
12
12
12
12
12
12
12
12
11
12
11
9
13
11
10
14
10
12
12
11
12
14
13
12
12
12
10
12
12
10
12
12
15
10
12
12
10
12
12
12
12
11
13
9
11
12
13
11
10
9
12
12
12
13
13
10
13
13
12
12
9
12
11
12

Tables (Output of Computation)





Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R ServerBig Analytics Cloud Computing Center

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time0 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=302624&T=0

[TABLE]
[ROW]
Summary of computational transaction[/C][/ROW] [ROW]Raw Input[/C] view raw input (R code) [/C][/ROW] [ROW]Raw Output[/C]view raw output of R engine [/C][/ROW] [ROW]Computing time[/C]0 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=302624&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=302624&T=0

As an alternative you can also use a QR Code:  
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 Outputview raw output of R engine
Computing time0 seconds
R ServerBig Analytics Cloud Computing Center






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[4,6[520.0119760.0119760.005988
[6,8[7000.0119760
[8,10[9120.0718560.0838320.035928
[10,12[11340.2035930.2874250.101796
[12,14[131090.6526950.940120.326347
[14,16[1590.0538920.9940120.026946
[16,18[17000.9940120
[18,20]1910.00598810.002994

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[4,6[ & 5 & 2 & 0.011976 & 0.011976 & 0.005988 \tabularnewline
[6,8[ & 7 & 0 & 0 & 0.011976 & 0 \tabularnewline
[8,10[ & 9 & 12 & 0.071856 & 0.083832 & 0.035928 \tabularnewline
[10,12[ & 11 & 34 & 0.203593 & 0.287425 & 0.101796 \tabularnewline
[12,14[ & 13 & 109 & 0.652695 & 0.94012 & 0.326347 \tabularnewline
[14,16[ & 15 & 9 & 0.053892 & 0.994012 & 0.026946 \tabularnewline
[16,18[ & 17 & 0 & 0 & 0.994012 & 0 \tabularnewline
[18,20] & 19 & 1 & 0.005988 & 1 & 0.002994 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=302624&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][4,6[[/C][C]5[/C][C]2[/C][C]0.011976[/C][C]0.011976[/C][C]0.005988[/C][/ROW]
[ROW][C][6,8[[/C][C]7[/C][C]0[/C][C]0[/C][C]0.011976[/C][C]0[/C][/ROW]
[ROW][C][8,10[[/C][C]9[/C][C]12[/C][C]0.071856[/C][C]0.083832[/C][C]0.035928[/C][/ROW]
[ROW][C][10,12[[/C][C]11[/C][C]34[/C][C]0.203593[/C][C]0.287425[/C][C]0.101796[/C][/ROW]
[ROW][C][12,14[[/C][C]13[/C][C]109[/C][C]0.652695[/C][C]0.94012[/C][C]0.326347[/C][/ROW]
[ROW][C][14,16[[/C][C]15[/C][C]9[/C][C]0.053892[/C][C]0.994012[/C][C]0.026946[/C][/ROW]
[ROW][C][16,18[[/C][C]17[/C][C]0[/C][C]0[/C][C]0.994012[/C][C]0[/C][/ROW]
[ROW][C][18,20][/C][C]19[/C][C]1[/C][C]0.005988[/C][C]1[/C][C]0.002994[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=302624&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=302624&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[4,6[520.0119760.0119760.005988
[6,8[7000.0119760
[8,10[9120.0718560.0838320.035928
[10,12[11340.2035930.2874250.101796
[12,14[131090.6526950.940120.326347
[14,16[1590.0538920.9940120.026946
[16,18[17000.9940120
[18,20]1910.00598810.002994


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par2 = grey ; par3 = FALSE ; par4 = 5-point Likert ;
Parameters (R input):
par1 = 6 ; 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,'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')
}