FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationThu, 16 Feb 2012 05:30:38 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Feb/16/t1329388347p28zhzk1liow9t2.htm/, Retrieved Sat, 27 Apr 2024 17:45:26 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=162634, Retrieved Sat, 27 Apr 2024 17:45:26 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG2011W2MO
Estimated Impact116

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [frequentietabel] [2012-02-16 10:30:38] [97ecbb8f45955fe09461b3e95ec17767] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
8
10
10
13
14
12
11
8
8
10
10
12
12
12
11
12
12
12
12
12
12
10
12
10
11
10
10
12
10
12
7
12
18
12
11
13
10
10
10
8
12
10
10
8
14
9
8
12
15
14
1
9
7
8
12
57
12
10
10
8
8
16
14
13
10
12
9
12
11
10
8
8
9
12
8
12
10
12
9
8
12
8
12
10
12
9
28
10
12
9
14
12
12
99
13
13
14
12
12
10
11
12
14
10
12
12
6
12
10
12
12
12
9
12
12
13
8
12
10
10
10
9
12
9
10
8
12
10
8
8
9
12
12
10
10
9
11
10
9
15
10
8
10
8
9
9
6
16
12
12
12
12
10
12
8
9
12
12
8
14
10
12
8
11
10
12
12
12
12
8
10
7
10
10
12
11
9
10
12
14
13
10
11
10
10
8
10
10
10
8
8
4
14
8
12
12
10
8
12
12
10
10
12
12
9
11
14
10
8
12
8
10
11
12
10
10
12
8
9
12
8
8
10
10
10
14
10
12
12
13
9
12
12
10
12
6
8
12
10
9
11
11
9
10
15
12
7
7
10
9
10
10
9
12
10
9
12
10
7
12
10
10
12
8
12
10
10
9
8
8
12
12
10
12
10
9
10
10
8
10
12
12
16
10
9
12
12
10
7
12
10
10
6
9
6
18
13
10
12
15
12
12
9
7
12
13
14
13
12
8
8
10
10
8
12
10
12
12
12
9
12
7
12
8
8
12
14
10
5
9
8
13
10
10
14
10
99
10
12
17
14
8
14
12
12
10
10
8
12
12
12
10
12
10
10
12
12
12
12
13
12
8
10
12
8
10
10
12
12
12
12
12
12
14
10
12
14
12
14
12
13
8
12
14
10
10
11
16
12
10
10
99
8
11
12
12
11
10
20
9
14
12
10
12
10
12
12
8
12
12
10
99
12
2
10
10
10
12
12
12
12
88
9
12
14
8
12
10
10
10
7
8
10
1
10
10
9
15
10
12
12
12
11
12
12
14
8
12
12
10
14
8
10
12
10
10
10
12
9
12
11
8
14
12
10
12
10
8
14
12
12
12
8
12
12
10
12
12
12
9
11
10
15
10
9
9
10
7
10
9
10
10
10
15
12
12
10
12
8
12
11
8
14
8
12
10
15
9
13
12
14
12
12
17
10
13
12
12
10
12
10
12
10
10
10
1
8
12
10
10
10
12
12
11
12
8
8
12
12
10
12
9
10
12
12
12
12
10
10
9
12
10
9
12
7
14
10
10
9
10
8
10
12
12
10
9
10
9
12
10
12
10
9
7
12
11
12
9
13
12
12
7
8
12
12
12
11
12
13
10
12
10
12
12
15
12
12
13
10
10
8
11
12
12
12
12
10
10
12
15
12
10
10
7
12
10
11
10
10
10
10
11
7
15
8
10
6
8
9
8
7
10
12
14
11
8
10
8
8
14
12
15
12
12
9
12
12
9
11
15
11
12
7
15
9
10
15
15
8
11
12
10
10
12
7
12
10
11
12
10
10
8
9
8
10
10
14
10
10
12
12
7
12
10
12
9
9
13
14
10
12
12
12
12
12
10
10
8
12
8
14
10
70
12
10
8
8
11
10
8
7
8
50
9
12
12
7
10
8
10
10
10
8
12
7
13
13
8
8
11
6
12
9
12
13
13
12
12
10
8
12
10
10
15
12
10
12
8
8
12
12
10
12
9
12
12
10
9
10
10
10
12
12
12
12
8
10
12
15
10
8
15
10
9
12
99
10
10
11
11
12
12
14
12
14
9
10
12
13
10
11
10
12
12
12
13
14
9
10
10
12
12
10
99
8
99
12
99
12
10
12
10
12
12
12
10
12
12
10
10
12
99
12
12
9
99
12
12
9
12
12
12
15
12
12
12
8
8
12
8
12
12
10
10
12
99
8
8
99
10
10
5
9
9
99
9
10
12

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'Herman Ole Andreas Wold' @ wold.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 & 1 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=162634&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=162634&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=162634&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'Herman Ole Andreas Wold' @ wold.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[0,5[2.550.0058280.0058280.001166
[5,10[7.51980.2307690.2365970.046154
[10,15[12.56080.7086250.9452210.141725
[15,20[17.5280.0326340.9778550.006527
[20,25[22.510.0011660.9790210.000233
[25,30[27.510.0011660.9801860.000233
[30,35[32.5000.9801860
[35,40[37.5000.9801860
[40,45[42.5000.9801860
[45,50[47.5000.9801860
[50,55[52.510.0011660.9813520.000233
[55,60[57.510.0011660.9825170.000233
[60,65[62.5000.9825170
[65,70[67.5000.9825170
[70,75[72.510.0011660.9836830.000233
[75,80[77.5000.9836830
[80,85[82.5000.9836830
[85,90[87.510.0011660.9848480.000233
[90,95[92.5000.9848480
[95,100]97.5130.01515210.00303

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0,5[ & 2.5 & 5 & 0.005828 & 0.005828 & 0.001166 \tabularnewline
[5,10[ & 7.5 & 198 & 0.230769 & 0.236597 & 0.046154 \tabularnewline
[10,15[ & 12.5 & 608 & 0.708625 & 0.945221 & 0.141725 \tabularnewline
[15,20[ & 17.5 & 28 & 0.032634 & 0.977855 & 0.006527 \tabularnewline
[20,25[ & 22.5 & 1 & 0.001166 & 0.979021 & 0.000233 \tabularnewline
[25,30[ & 27.5 & 1 & 0.001166 & 0.980186 & 0.000233 \tabularnewline
[30,35[ & 32.5 & 0 & 0 & 0.980186 & 0 \tabularnewline
[35,40[ & 37.5 & 0 & 0 & 0.980186 & 0 \tabularnewline
[40,45[ & 42.5 & 0 & 0 & 0.980186 & 0 \tabularnewline
[45,50[ & 47.5 & 0 & 0 & 0.980186 & 0 \tabularnewline
[50,55[ & 52.5 & 1 & 0.001166 & 0.981352 & 0.000233 \tabularnewline
[55,60[ & 57.5 & 1 & 0.001166 & 0.982517 & 0.000233 \tabularnewline
[60,65[ & 62.5 & 0 & 0 & 0.982517 & 0 \tabularnewline
[65,70[ & 67.5 & 0 & 0 & 0.982517 & 0 \tabularnewline
[70,75[ & 72.5 & 1 & 0.001166 & 0.983683 & 0.000233 \tabularnewline
[75,80[ & 77.5 & 0 & 0 & 0.983683 & 0 \tabularnewline
[80,85[ & 82.5 & 0 & 0 & 0.983683 & 0 \tabularnewline
[85,90[ & 87.5 & 1 & 0.001166 & 0.984848 & 0.000233 \tabularnewline
[90,95[ & 92.5 & 0 & 0 & 0.984848 & 0 \tabularnewline
[95,100] & 97.5 & 13 & 0.015152 & 1 & 0.00303 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=162634&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]5[/C][C]0.005828[/C][C]0.005828[/C][C]0.001166[/C][/ROW]
[ROW][C][5,10[[/C][C]7.5[/C][C]198[/C][C]0.230769[/C][C]0.236597[/C][C]0.046154[/C][/ROW]
[ROW][C][10,15[[/C][C]12.5[/C][C]608[/C][C]0.708625[/C][C]0.945221[/C][C]0.141725[/C][/ROW]
[ROW][C][15,20[[/C][C]17.5[/C][C]28[/C][C]0.032634[/C][C]0.977855[/C][C]0.006527[/C][/ROW]
[ROW][C][20,25[[/C][C]22.5[/C][C]1[/C][C]0.001166[/C][C]0.979021[/C][C]0.000233[/C][/ROW]
[ROW][C][25,30[[/C][C]27.5[/C][C]1[/C][C]0.001166[/C][C]0.980186[/C][C]0.000233[/C][/ROW]
[ROW][C][30,35[[/C][C]32.5[/C][C]0[/C][C]0[/C][C]0.980186[/C][C]0[/C][/ROW]
[ROW][C][35,40[[/C][C]37.5[/C][C]0[/C][C]0[/C][C]0.980186[/C][C]0[/C][/ROW]
[ROW][C][40,45[[/C][C]42.5[/C][C]0[/C][C]0[/C][C]0.980186[/C][C]0[/C][/ROW]
[ROW][C][45,50[[/C][C]47.5[/C][C]0[/C][C]0[/C][C]0.980186[/C][C]0[/C][/ROW]
[ROW][C][50,55[[/C][C]52.5[/C][C]1[/C][C]0.001166[/C][C]0.981352[/C][C]0.000233[/C][/ROW]
[ROW][C][55,60[[/C][C]57.5[/C][C]1[/C][C]0.001166[/C][C]0.982517[/C][C]0.000233[/C][/ROW]
[ROW][C][60,65[[/C][C]62.5[/C][C]0[/C][C]0[/C][C]0.982517[/C][C]0[/C][/ROW]
[ROW][C][65,70[[/C][C]67.5[/C][C]0[/C][C]0[/C][C]0.982517[/C][C]0[/C][/ROW]
[ROW][C][70,75[[/C][C]72.5[/C][C]1[/C][C]0.001166[/C][C]0.983683[/C][C]0.000233[/C][/ROW]
[ROW][C][75,80[[/C][C]77.5[/C][C]0[/C][C]0[/C][C]0.983683[/C][C]0[/C][/ROW]
[ROW][C][80,85[[/C][C]82.5[/C][C]0[/C][C]0[/C][C]0.983683[/C][C]0[/C][/ROW]
[ROW][C][85,90[[/C][C]87.5[/C][C]1[/C][C]0.001166[/C][C]0.984848[/C][C]0.000233[/C][/ROW]
[ROW][C][90,95[[/C][C]92.5[/C][C]0[/C][C]0[/C][C]0.984848[/C][C]0[/C][/ROW]
[ROW][C][95,100][/C][C]97.5[/C][C]13[/C][C]0.015152[/C][C]1[/C][C]0.00303[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=162634&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=162634&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[2.550.0058280.0058280.001166
[5,10[7.51980.2307690.2365970.046154
[10,15[12.56080.7086250.9452210.141725
[15,20[17.5280.0326340.9778550.006527
[20,25[22.510.0011660.9790210.000233
[25,30[27.510.0011660.9801860.000233
[30,35[32.5000.9801860
[35,40[37.5000.9801860
[40,45[42.5000.9801860
[45,50[47.5000.9801860
[50,55[52.510.0011660.9813520.000233
[55,60[57.510.0011660.9825170.000233
[60,65[62.5000.9825170
[65,70[67.5000.9825170
[70,75[72.510.0011660.9836830.000233
[75,80[77.5000.9836830
[80,85[82.5000.9836830
[85,90[87.510.0011660.9848480.000233
[90,95[92.5000.9848480
[95,100]97.5130.01515210.00303


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 20 ; par2 = red ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = 20 ; par2 = red ; 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')
}