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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 computationFri, 21 Dec 2018 17:09:05 +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/2018/Dec/21/t1545408568mylfocnre33ja2z.htm/, Retrieved Sat, 04 May 2024 18:50:43 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=316197, Retrieved Sat, 04 May 2024 18:50:43 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact91

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Probleemstelling ...] [2018-12-21 16:09:05] [43d2f626bc6218a9f8edf623032f4bc3] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
17
11
12
12
13
17
NA
12
16
15
11
16
15
16
15
11
8
NA
10
14
16
15
15
12
18
10
17
12
13
9
11
10
15
15
13
13
9
14
14
11
15
12
11
12
15
13
11
10
16
13
15
14
12
10
12
9
15
16
12
11
11
9
13
17
18
15
12
18
11
6
10
19
16
12
10
14
12
13
16
18
13
15
16
9
9
8
18
18
14
8
14
13
14
7
18
16
9
11
10
13
10
12
11
12
12
10
NA
12
12
16
11
12
12
13
10
14
13
15
13
13
17
12
17
9
12
14
14
14
12
NA
13
15
16
13
14
14
17
13
15
NA
11
11
9
15
16
16
10
15
10
12
14
18
15
19
13
NA
15
7
14
NA
14
11
18
8
NA
5
17
14
17

Tables (Output of Computation)





Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 time1 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=316197&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]1 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=316197&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=316197&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 time1 seconds
R ServerBig Analytics Cloud Computing Center






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[4,6[510.0059170.0059170.003106
[6,8[730.0177510.0236690.009317
[8,10[9130.0769230.1005920.040373
[10,12[11290.1715980.2721890.090062
[12,14[13430.2544380.5266270.13354
[14,16[15380.2248520.7514790.118012
[16,18[17230.1360950.8875740.071429
[18,20]19110.0650890.9526630.034161

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[4,6[ & 5 & 1 & 0.005917 & 0.005917 & 0.003106 \tabularnewline
[6,8[ & 7 & 3 & 0.017751 & 0.023669 & 0.009317 \tabularnewline
[8,10[ & 9 & 13 & 0.076923 & 0.100592 & 0.040373 \tabularnewline
[10,12[ & 11 & 29 & 0.171598 & 0.272189 & 0.090062 \tabularnewline
[12,14[ & 13 & 43 & 0.254438 & 0.526627 & 0.13354 \tabularnewline
[14,16[ & 15 & 38 & 0.224852 & 0.751479 & 0.118012 \tabularnewline
[16,18[ & 17 & 23 & 0.136095 & 0.887574 & 0.071429 \tabularnewline
[18,20] & 19 & 11 & 0.065089 & 0.952663 & 0.034161 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=316197&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]1[/C][C]0.005917[/C][C]0.005917[/C][C]0.003106[/C][/ROW]
[ROW][C][6,8[[/C][C]7[/C][C]3[/C][C]0.017751[/C][C]0.023669[/C][C]0.009317[/C][/ROW]
[ROW][C][8,10[[/C][C]9[/C][C]13[/C][C]0.076923[/C][C]0.100592[/C][C]0.040373[/C][/ROW]
[ROW][C][10,12[[/C][C]11[/C][C]29[/C][C]0.171598[/C][C]0.272189[/C][C]0.090062[/C][/ROW]
[ROW][C][12,14[[/C][C]13[/C][C]43[/C][C]0.254438[/C][C]0.526627[/C][C]0.13354[/C][/ROW]
[ROW][C][14,16[[/C][C]15[/C][C]38[/C][C]0.224852[/C][C]0.751479[/C][C]0.118012[/C][/ROW]
[ROW][C][16,18[[/C][C]17[/C][C]23[/C][C]0.136095[/C][C]0.887574[/C][C]0.071429[/C][/ROW]
[ROW][C][18,20][/C][C]19[/C][C]11[/C][C]0.065089[/C][C]0.952663[/C][C]0.034161[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=316197&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=316197&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[510.0059170.0059170.003106
[6,8[730.0177510.0236690.009317
[8,10[9130.0769230.1005920.040373
[10,12[11290.1715980.2721890.090062
[12,14[13430.2544380.5266270.13354
[14,16[15380.2248520.7514790.118012
[16,18[17230.1360950.8875740.071429
[18,20]19110.0650890.9526630.034161


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par4 = 12 ;
Parameters (R input):
par1 = ; 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,'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')
}