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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, 28 Jan 2015 15:15:35 +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/2015/Jan/28/t1422458256edkm6rgpdig86a8.htm/, Retrieved Mon, 13 May 2024 21:52:36 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=276225, Retrieved Mon, 13 May 2024 21:52:36 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact152

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Opdracht 1: Frequ...] [2015-01-28 15:15:35] [181905e06b04c65545707bd953ef5b1f] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
24
24
31
25
28
24
25
16
17
11
12
39
19
14
15
7
12
12
14
9
8
4
7
3
5
0
-2
6
11
9
17
21
21
41
57
65
68
73
71
71
70
69
65
57
57
57
55
65
65
64
60
43
47
40
31
27
24
23
17
16
15
8
5
6
5
12
8
17
22
24
36
31
34
47
33
35
31
35
39
46
40
50
62
57
59
52
63
56
55
54
48
39
40
38
34
32

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.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 & 0 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=276225&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]0 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=276225&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=276225&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 time0 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[-10,0[-510.0104170.0104170.001042
[0,10[5150.156250.1666670.015625
[10,20[15170.1770830.343750.017708
[20,30[25130.1354170.4791670.013542
[30,40[35150.156250.6354170.015625
[40,50[4590.093750.7291670.009375
[50,60[55120.1250.8541670.0125
[60,70[65100.1041670.9583330.010417
[70,80]7540.04166710.004167

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[-10,0[ & -5 & 1 & 0.010417 & 0.010417 & 0.001042 \tabularnewline
[0,10[ & 5 & 15 & 0.15625 & 0.166667 & 0.015625 \tabularnewline
[10,20[ & 15 & 17 & 0.177083 & 0.34375 & 0.017708 \tabularnewline
[20,30[ & 25 & 13 & 0.135417 & 0.479167 & 0.013542 \tabularnewline
[30,40[ & 35 & 15 & 0.15625 & 0.635417 & 0.015625 \tabularnewline
[40,50[ & 45 & 9 & 0.09375 & 0.729167 & 0.009375 \tabularnewline
[50,60[ & 55 & 12 & 0.125 & 0.854167 & 0.0125 \tabularnewline
[60,70[ & 65 & 10 & 0.104167 & 0.958333 & 0.010417 \tabularnewline
[70,80] & 75 & 4 & 0.041667 & 1 & 0.004167 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=276225&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][-10,0[[/C][C]-5[/C][C]1[/C][C]0.010417[/C][C]0.010417[/C][C]0.001042[/C][/ROW]
[ROW][C][0,10[[/C][C]5[/C][C]15[/C][C]0.15625[/C][C]0.166667[/C][C]0.015625[/C][/ROW]
[ROW][C][10,20[[/C][C]15[/C][C]17[/C][C]0.177083[/C][C]0.34375[/C][C]0.017708[/C][/ROW]
[ROW][C][20,30[[/C][C]25[/C][C]13[/C][C]0.135417[/C][C]0.479167[/C][C]0.013542[/C][/ROW]
[ROW][C][30,40[[/C][C]35[/C][C]15[/C][C]0.15625[/C][C]0.635417[/C][C]0.015625[/C][/ROW]
[ROW][C][40,50[[/C][C]45[/C][C]9[/C][C]0.09375[/C][C]0.729167[/C][C]0.009375[/C][/ROW]
[ROW][C][50,60[[/C][C]55[/C][C]12[/C][C]0.125[/C][C]0.854167[/C][C]0.0125[/C][/ROW]
[ROW][C][60,70[[/C][C]65[/C][C]10[/C][C]0.104167[/C][C]0.958333[/C][C]0.010417[/C][/ROW]
[ROW][C][70,80][/C][C]75[/C][C]4[/C][C]0.041667[/C][C]1[/C][C]0.004167[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=276225&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=276225&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
[-10,0[-510.0104170.0104170.001042
[0,10[5150.156250.1666670.015625
[10,20[15170.1770830.343750.017708
[20,30[25130.1354170.4791670.013542
[30,40[35150.156250.6354170.015625
[40,50[4590.093750.7291670.009375
[50,60[55120.1250.8541670.0125
[60,70[65100.1041670.9583330.010417
[70,80]7540.04166710.004167


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 {
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')
}