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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, 26 Nov 2010 14:09:45 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Nov/26/t1290780631r65jwfm29c14xr8.htm/, Retrieved Fri, 03 May 2024 19:52:00 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=101902, Retrieved Fri, 03 May 2024 19:52:00 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsWorkshop 3
Estimated Impact118

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Minitutorial Hist...] [2010-11-26 14:09:45] [f76239c595e4d455b3b05a43389f68d5] [Current]
-    D    [Histogram] [] [2010-11-30 19:40:53] [f47feae0308dca73181bb669fbad1c56]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
6
7
4
3
0
6
3
1
6
5
7
4
3
6
6
5
2
3
-2
-4
0
1
4
-3
-3
0
6
-1
0
-1
1
-4
-1
-1
0
3
0
8
8
8
8
11
13
5
12
13
9
11
7
12
11
10
13
14
10
13
12
13
17
15
6

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'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=101902&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=101902&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=101902&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'Gwilym Jenkins' @ 72.249.127.135






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[-4,-2[-340.0655740.0655740.032787
[-2,0[-150.0819670.1475410.040984
[0,2[190.1475410.2950820.07377
[2,4[360.0983610.3934430.04918
[4,6[560.0983610.4918030.04918
[6,8[7100.1639340.6557380.081967
[8,10[950.0819670.7377050.040984
[10,12[1150.0819670.8196720.040984
[12,14[1380.1311480.950820.065574
[14,16[1520.0327870.9836070.016393
[16,18]1710.01639310.008197

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[-4,-2[ & -3 & 4 & 0.065574 & 0.065574 & 0.032787 \tabularnewline
[-2,0[ & -1 & 5 & 0.081967 & 0.147541 & 0.040984 \tabularnewline
[0,2[ & 1 & 9 & 0.147541 & 0.295082 & 0.07377 \tabularnewline
[2,4[ & 3 & 6 & 0.098361 & 0.393443 & 0.04918 \tabularnewline
[4,6[ & 5 & 6 & 0.098361 & 0.491803 & 0.04918 \tabularnewline
[6,8[ & 7 & 10 & 0.163934 & 0.655738 & 0.081967 \tabularnewline
[8,10[ & 9 & 5 & 0.081967 & 0.737705 & 0.040984 \tabularnewline
[10,12[ & 11 & 5 & 0.081967 & 0.819672 & 0.040984 \tabularnewline
[12,14[ & 13 & 8 & 0.131148 & 0.95082 & 0.065574 \tabularnewline
[14,16[ & 15 & 2 & 0.032787 & 0.983607 & 0.016393 \tabularnewline
[16,18] & 17 & 1 & 0.016393 & 1 & 0.008197 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=101902&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,-2[[/C][C]-3[/C][C]4[/C][C]0.065574[/C][C]0.065574[/C][C]0.032787[/C][/ROW]
[ROW][C][-2,0[[/C][C]-1[/C][C]5[/C][C]0.081967[/C][C]0.147541[/C][C]0.040984[/C][/ROW]
[ROW][C][0,2[[/C][C]1[/C][C]9[/C][C]0.147541[/C][C]0.295082[/C][C]0.07377[/C][/ROW]
[ROW][C][2,4[[/C][C]3[/C][C]6[/C][C]0.098361[/C][C]0.393443[/C][C]0.04918[/C][/ROW]
[ROW][C][4,6[[/C][C]5[/C][C]6[/C][C]0.098361[/C][C]0.491803[/C][C]0.04918[/C][/ROW]
[ROW][C][6,8[[/C][C]7[/C][C]10[/C][C]0.163934[/C][C]0.655738[/C][C]0.081967[/C][/ROW]
[ROW][C][8,10[[/C][C]9[/C][C]5[/C][C]0.081967[/C][C]0.737705[/C][C]0.040984[/C][/ROW]
[ROW][C][10,12[[/C][C]11[/C][C]5[/C][C]0.081967[/C][C]0.819672[/C][C]0.040984[/C][/ROW]
[ROW][C][12,14[[/C][C]13[/C][C]8[/C][C]0.131148[/C][C]0.95082[/C][C]0.065574[/C][/ROW]
[ROW][C][14,16[[/C][C]15[/C][C]2[/C][C]0.032787[/C][C]0.983607[/C][C]0.016393[/C][/ROW]
[ROW][C][16,18][/C][C]17[/C][C]1[/C][C]0.016393[/C][C]1[/C][C]0.008197[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=101902&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=101902&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,-2[-340.0655740.0655740.032787
[-2,0[-150.0819670.1475410.040984
[0,2[190.1475410.2950820.07377
[2,4[360.0983610.3934430.04918
[4,6[560.0983610.4918030.04918
[6,8[7100.1639340.6557380.081967
[8,10[950.0819670.7377050.040984
[10,12[1150.0819670.8196720.040984
[12,14[1380.1311480.950820.065574
[14,16[1520.0327870.9836070.016393
[16,18]1710.01639310.008197


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 10 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = 10 ; 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 {
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')
}