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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 computationTue, 21 May 2013 09:50:28 -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/May/21/t1369144267k70qblj0g3wwlm2.htm/, Retrieved Thu, 02 May 2024 12:09:45 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=209210, Retrieved Thu, 02 May 2024 12:09:45 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact90

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] [2013-05-21 11:50:54] [be3f45be75c53e135266201d673d35f3]
- R P     [Histogram] [opdracht 2] [2013-05-21 13:50:28] [0756924702977927793c865c7c536cb0] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
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
62
57

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'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=209210&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=209210&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=209210&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'Gertrude Mary Cox' @ cox.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[-10,0[-510.0135140.0135140.001351
[0,10[5150.2027030.2162160.02027
[10,20[15130.1756760.3918920.017568
[20,30[2570.0945950.4864860.009459
[30,40[3590.1216220.6081080.012162
[40,50[4570.0945950.7027030.009459
[50,60[5580.1081080.8108110.010811
[60,70[65100.1351350.9459460.013514
[70,80]7540.05405410.005405

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[-10,0[ & -5 & 1 & 0.013514 & 0.013514 & 0.001351 \tabularnewline
[0,10[ & 5 & 15 & 0.202703 & 0.216216 & 0.02027 \tabularnewline
[10,20[ & 15 & 13 & 0.175676 & 0.391892 & 0.017568 \tabularnewline
[20,30[ & 25 & 7 & 0.094595 & 0.486486 & 0.009459 \tabularnewline
[30,40[ & 35 & 9 & 0.121622 & 0.608108 & 0.012162 \tabularnewline
[40,50[ & 45 & 7 & 0.094595 & 0.702703 & 0.009459 \tabularnewline
[50,60[ & 55 & 8 & 0.108108 & 0.810811 & 0.010811 \tabularnewline
[60,70[ & 65 & 10 & 0.135135 & 0.945946 & 0.013514 \tabularnewline
[70,80] & 75 & 4 & 0.054054 & 1 & 0.005405 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=209210&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]0.013514[/C][C]0.013514[/C][C]0.001351[/C][/ROW]
[ROW][C][0,10[[/C][C]5[/C][C]15[/C][C]0.202703[/C][C]0.216216[/C][C]0.02027[/C][/ROW]
[ROW][C][10,20[[/C][C]15[/C][C]13[/C][C]0.175676[/C][C]0.391892[/C][C]0.017568[/C][/ROW]
[ROW][C][20,30[[/C][C]25[/C][C]7[/C][C]0.094595[/C][C]0.486486[/C][C]0.009459[/C][/ROW]
[ROW][C][30,40[[/C][C]35[/C][C]9[/C][C]0.121622[/C][C]0.608108[/C][C]0.012162[/C][/ROW]
[ROW][C][40,50[[/C][C]45[/C][C]7[/C][C]0.094595[/C][C]0.702703[/C][C]0.009459[/C][/ROW]
[ROW][C][50,60[[/C][C]55[/C][C]8[/C][C]0.108108[/C][C]0.810811[/C][C]0.010811[/C][/ROW]
[ROW][C][60,70[[/C][C]65[/C][C]10[/C][C]0.135135[/C][C]0.945946[/C][C]0.013514[/C][/ROW]
[ROW][C][70,80][/C][C]75[/C][C]4[/C][C]0.054054[/C][C]1[/C][C]0.005405[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=209210&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=209210&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[-510.0135140.0135140.001351
[0,10[5150.2027030.2162160.02027
[10,20[15130.1756760.3918920.017568
[20,30[2570.0945950.4864860.009459
[30,40[3590.1216220.6081080.012162
[40,50[4570.0945950.7027030.009459
[50,60[5580.1081080.8108110.010811
[60,70[65100.1351350.9459460.013514
[70,80]7540.05405410.005405


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 50 ; 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')
}