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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Module--
Title produced by softwareHistogram
Date of computationWed, 23 Oct 2013 14:20:59 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Oct/23/t1382552831hzkgwzmothj188s.htm/, Retrieved Sat, 27 Apr 2024 22:49:55 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=219133, Retrieved Sat, 27 Apr 2024 22:49:55 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact80

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Notched Boxplots] [workshop 3] [2013-10-23 16:55:12] [28b01683adeed0ece37c11d0e0637e9d]
- RM D  [Histogram] [workshop 3] [2013-10-23 17:20:07] [28b01683adeed0ece37c11d0e0637e9d]
- RMP       [Histogram] [qq] [2013-10-23 18:20:59] [42d3493b68e44bd1b6f64c892e56509b] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
20
28
24
27
23
28
27
19
28
11
25
20
20
24
25
28
24
21
22
20
20
23
21
12
23
28
24
24
25
21
26
28
21
27
22
23
24
22
23
25
21
22
20
21
19
26
20
22
23
22
24
23
23
27
21
23
25
23
22
28
28
20
18

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=219133&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]2 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=219133&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=219133&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[10,12[1110.0158730.0158730.007937
[12,14[1310.0158730.0317460.007937
[14,16[15000.0317460
[16,18[17000.0317460
[18,20[1930.0476190.0793650.02381
[20,22[21150.2380950.317460.119048
[22,24[23170.2698410.5873020.134921
[24,26[25120.1904760.7777780.095238
[26,28]27140.22222210.111111

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[10,12[ & 11 & 1 & 0.015873 & 0.015873 & 0.007937 \tabularnewline
[12,14[ & 13 & 1 & 0.015873 & 0.031746 & 0.007937 \tabularnewline
[14,16[ & 15 & 0 & 0 & 0.031746 & 0 \tabularnewline
[16,18[ & 17 & 0 & 0 & 0.031746 & 0 \tabularnewline
[18,20[ & 19 & 3 & 0.047619 & 0.079365 & 0.02381 \tabularnewline
[20,22[ & 21 & 15 & 0.238095 & 0.31746 & 0.119048 \tabularnewline
[22,24[ & 23 & 17 & 0.269841 & 0.587302 & 0.134921 \tabularnewline
[24,26[ & 25 & 12 & 0.190476 & 0.777778 & 0.095238 \tabularnewline
[26,28] & 27 & 14 & 0.222222 & 1 & 0.111111 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=219133&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][10,12[[/C][C]11[/C][C]1[/C][C]0.015873[/C][C]0.015873[/C][C]0.007937[/C][/ROW]
[ROW][C][12,14[[/C][C]13[/C][C]1[/C][C]0.015873[/C][C]0.031746[/C][C]0.007937[/C][/ROW]
[ROW][C][14,16[[/C][C]15[/C][C]0[/C][C]0[/C][C]0.031746[/C][C]0[/C][/ROW]
[ROW][C][16,18[[/C][C]17[/C][C]0[/C][C]0[/C][C]0.031746[/C][C]0[/C][/ROW]
[ROW][C][18,20[[/C][C]19[/C][C]3[/C][C]0.047619[/C][C]0.079365[/C][C]0.02381[/C][/ROW]
[ROW][C][20,22[[/C][C]21[/C][C]15[/C][C]0.238095[/C][C]0.31746[/C][C]0.119048[/C][/ROW]
[ROW][C][22,24[[/C][C]23[/C][C]17[/C][C]0.269841[/C][C]0.587302[/C][C]0.134921[/C][/ROW]
[ROW][C][24,26[[/C][C]25[/C][C]12[/C][C]0.190476[/C][C]0.777778[/C][C]0.095238[/C][/ROW]
[ROW][C][26,28][/C][C]27[/C][C]14[/C][C]0.222222[/C][C]1[/C][C]0.111111[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=219133&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=219133&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
[10,12[1110.0158730.0158730.007937
[12,14[1310.0158730.0317460.007937
[14,16[15000.0317460
[16,18[17000.0317460
[18,20[1930.0476190.0793650.02381
[20,22[21150.2380950.317460.119048
[22,24[23170.2698410.5873020.134921
[24,26[25120.1904760.7777780.095238
[26,28]27140.22222210.111111


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 ; par5 = ; par6 = ; par7 = ; par8 = ; par9 = ; par10 = ; par11 = ; par12 = ; par13 = ; par14 = ; par15 = ; par16 = ; par17 = ; par18 = ; par19 = ; par20 = ;
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 {
plot(mytab <- table(x),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')
}