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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationWed, 13 Oct 2010 12:15:16 +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/Oct/13/t12869720607lm0j206eyf3sia.htm/, Retrieved Tue, 07 May 2024 02:19:27 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=83087, Retrieved Tue, 07 May 2024 02:19:27 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W22 - Pauwels
Estimated Impact144

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Faillissementen d...] [2010-10-13 12:15:16] [0879bbcec85a2f8393668d46994b687b] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
12
13
23
24
21
20
18
13
12
25
21
17
10
15
23
12
10
21
9
13
17
14
20
12
13
14
23
14
21
21
21
7
15
28
28
18
22
30
1
26
29
24
26
19
19
41
36
54
49
33
50
43
51
46
45
23
56
41
48
43

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=83087&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]1 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=83087&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=83087&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[0,5[2.510.0166670.0166670.003333
[5,10[7.520.0333330.050.006667
[10,15[12.5130.2166670.2666670.043333
[15,20[17.580.1333330.40.026667
[20,25[22.5150.250.650.05
[25,30[27.560.10.750.02
[30,35[32.520.0333330.7833330.006667
[35,40[37.510.0166670.80.003333
[40,45[42.540.0666670.8666670.013333
[45,50[47.540.0666670.9333330.013333
[50,55[52.530.050.9833330.01
[55,60]57.510.01666710.003333

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0,5[ & 2.5 & 1 & 0.016667 & 0.016667 & 0.003333 \tabularnewline
[5,10[ & 7.5 & 2 & 0.033333 & 0.05 & 0.006667 \tabularnewline
[10,15[ & 12.5 & 13 & 0.216667 & 0.266667 & 0.043333 \tabularnewline
[15,20[ & 17.5 & 8 & 0.133333 & 0.4 & 0.026667 \tabularnewline
[20,25[ & 22.5 & 15 & 0.25 & 0.65 & 0.05 \tabularnewline
[25,30[ & 27.5 & 6 & 0.1 & 0.75 & 0.02 \tabularnewline
[30,35[ & 32.5 & 2 & 0.033333 & 0.783333 & 0.006667 \tabularnewline
[35,40[ & 37.5 & 1 & 0.016667 & 0.8 & 0.003333 \tabularnewline
[40,45[ & 42.5 & 4 & 0.066667 & 0.866667 & 0.013333 \tabularnewline
[45,50[ & 47.5 & 4 & 0.066667 & 0.933333 & 0.013333 \tabularnewline
[50,55[ & 52.5 & 3 & 0.05 & 0.983333 & 0.01 \tabularnewline
[55,60] & 57.5 & 1 & 0.016667 & 1 & 0.003333 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=83087&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][0,5[[/C][C]2.5[/C][C]1[/C][C]0.016667[/C][C]0.016667[/C][C]0.003333[/C][/ROW]
[ROW][C][5,10[[/C][C]7.5[/C][C]2[/C][C]0.033333[/C][C]0.05[/C][C]0.006667[/C][/ROW]
[ROW][C][10,15[[/C][C]12.5[/C][C]13[/C][C]0.216667[/C][C]0.266667[/C][C]0.043333[/C][/ROW]
[ROW][C][15,20[[/C][C]17.5[/C][C]8[/C][C]0.133333[/C][C]0.4[/C][C]0.026667[/C][/ROW]
[ROW][C][20,25[[/C][C]22.5[/C][C]15[/C][C]0.25[/C][C]0.65[/C][C]0.05[/C][/ROW]
[ROW][C][25,30[[/C][C]27.5[/C][C]6[/C][C]0.1[/C][C]0.75[/C][C]0.02[/C][/ROW]
[ROW][C][30,35[[/C][C]32.5[/C][C]2[/C][C]0.033333[/C][C]0.783333[/C][C]0.006667[/C][/ROW]
[ROW][C][35,40[[/C][C]37.5[/C][C]1[/C][C]0.016667[/C][C]0.8[/C][C]0.003333[/C][/ROW]
[ROW][C][40,45[[/C][C]42.5[/C][C]4[/C][C]0.066667[/C][C]0.866667[/C][C]0.013333[/C][/ROW]
[ROW][C][45,50[[/C][C]47.5[/C][C]4[/C][C]0.066667[/C][C]0.933333[/C][C]0.013333[/C][/ROW]
[ROW][C][50,55[[/C][C]52.5[/C][C]3[/C][C]0.05[/C][C]0.983333[/C][C]0.01[/C][/ROW]
[ROW][C][55,60][/C][C]57.5[/C][C]1[/C][C]0.016667[/C][C]1[/C][C]0.003333[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=83087&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=83087&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
[0,5[2.510.0166670.0166670.003333
[5,10[7.520.0333330.050.006667
[10,15[12.5130.2166670.2666670.043333
[15,20[17.580.1333330.40.026667
[20,25[22.5150.250.650.05
[25,30[27.560.10.750.02
[30,35[32.520.0333330.7833330.006667
[35,40[37.510.0166670.80.003333
[40,45[42.540.0666670.8666670.013333
[45,50[47.540.0666670.9333330.013333
[50,55[52.530.050.9833330.01
[55,60]57.510.01666710.003333


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 12 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = 12 ; 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')
}