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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 computationSat, 03 Dec 2016 18:41:31 +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/03/t1480786910holcu3h0hwozctp.htm/, Retrieved Fri, 01 Nov 2024 03:32:51 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=297637, Retrieved Fri, 01 Nov 2024 03:32:51 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact122

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [IKSUM] [2016-12-03 17:41:31] [d39849d99ecf9f381705e5654f23e5cd] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
18
19
18
15
19
19
19
NA
18
20
14
15
18
19
16
18
18
NA
17
19
19
17
18
16
20
13
19
15
17
17
16
17
19
18
19
20
16
17
16
16
16
16
14
17
18
16
16
NA
16
15
19
16
17
19
17
17
15
16
16
16
17
18
18
18
19
14
13
18
16
15
18
18
16
19
17
17
19
19
20
19
18
16
16
15
20
16
16
20
20
18
15
14
16
14
18
20
20
18
20
14
20
17
20
14
16
20
19
18
17
17
19
15
18
15
16
16
20
18
20
18
17
19
18
19
17
18
17
16
19
18
17
18
16
20
14
17
13
13
17
18
16
NA
19
NA
17
16
17
17
17
20
14
20
19
16
19
17
19
20
19
19
16
18
16
17
18
16
17
15
18

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=297637&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=297637&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=297637&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
[13,14[13.540.0236690.0236690.02439
[14,15[14.590.0532540.0769230.054878
[15,16[15.5110.0650890.1420120.067073
[16,17[16.5330.1952660.3372780.20122
[17,18[17.5290.1715980.5088760.176829
[18,19[18.5310.1834320.6923080.189024
[19,20]19.5470.2781070.9704140.286585

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[13,14[ & 13.5 & 4 & 0.023669 & 0.023669 & 0.02439 \tabularnewline
[14,15[ & 14.5 & 9 & 0.053254 & 0.076923 & 0.054878 \tabularnewline
[15,16[ & 15.5 & 11 & 0.065089 & 0.142012 & 0.067073 \tabularnewline
[16,17[ & 16.5 & 33 & 0.195266 & 0.337278 & 0.20122 \tabularnewline
[17,18[ & 17.5 & 29 & 0.171598 & 0.508876 & 0.176829 \tabularnewline
[18,19[ & 18.5 & 31 & 0.183432 & 0.692308 & 0.189024 \tabularnewline
[19,20] & 19.5 & 47 & 0.278107 & 0.970414 & 0.286585 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=297637&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][13,14[[/C][C]13.5[/C][C]4[/C][C]0.023669[/C][C]0.023669[/C][C]0.02439[/C][/ROW]
[ROW][C][14,15[[/C][C]14.5[/C][C]9[/C][C]0.053254[/C][C]0.076923[/C][C]0.054878[/C][/ROW]
[ROW][C][15,16[[/C][C]15.5[/C][C]11[/C][C]0.065089[/C][C]0.142012[/C][C]0.067073[/C][/ROW]
[ROW][C][16,17[[/C][C]16.5[/C][C]33[/C][C]0.195266[/C][C]0.337278[/C][C]0.20122[/C][/ROW]
[ROW][C][17,18[[/C][C]17.5[/C][C]29[/C][C]0.171598[/C][C]0.508876[/C][C]0.176829[/C][/ROW]
[ROW][C][18,19[[/C][C]18.5[/C][C]31[/C][C]0.183432[/C][C]0.692308[/C][C]0.189024[/C][/ROW]
[ROW][C][19,20][/C][C]19.5[/C][C]47[/C][C]0.278107[/C][C]0.970414[/C][C]0.286585[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=297637&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=297637&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
[13,14[13.540.0236690.0236690.02439
[14,15[14.590.0532540.0769230.054878
[15,16[15.5110.0650890.1420120.067073
[16,17[16.5330.1952660.3372780.20122
[17,18[17.5290.1715980.5088760.176829
[18,19[18.5310.1834320.6923080.189024
[19,20]19.5470.2781070.9704140.286585


Figures (Output of Computation)

Input Parameters & R Code

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):
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')
}