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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 computationSun, 09 Feb 2014 16:19:06 -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/2014/Feb/09/t1391980837geps7fyby9vs7oi.htm/, Retrieved Thu, 16 May 2024 03:47:07 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=233506, Retrieved Thu, 16 May 2024 03:47:07 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact66

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Indicator consume...] [2014-02-09 21:19:06] [7e257b479a74cf54c1843b0823401607] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0
-2
-4
-6
-2
1
7
2
2
13
7
-1
1
0
0
5
3
6
7
-6
-8
-5
-14
-13
-15
-14
-10
-14
-18
-22
-24
-17
-16
-17
-22
-25
-18
-23
-20
-9
-4
0
3
14
13
12
16
7
2
1
7
10
3
2
12
14
11
13
17
14
7
16
5
5
15
9
4
-9
-14
-4
-19
-10
-22

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=233506&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=233506&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=233506&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
[-25,-20[-22.560.0821920.0821920.016438
[-20,-15[-17.570.095890.1780820.019178
[-15,-10[-12.560.0821920.2602740.016438
[-10,-5[-7.570.095890.3561640.019178
[-5,0[-2.570.095890.4520550.019178
[0,5[2.5150.2054790.6575340.041096
[5,10[7.5110.1506850.8082190.030137
[10,15[12.5100.1369860.9452050.027397
[15,20]17.540.05479510.010959

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[-25,-20[ & -22.5 & 6 & 0.082192 & 0.082192 & 0.016438 \tabularnewline
[-20,-15[ & -17.5 & 7 & 0.09589 & 0.178082 & 0.019178 \tabularnewline
[-15,-10[ & -12.5 & 6 & 0.082192 & 0.260274 & 0.016438 \tabularnewline
[-10,-5[ & -7.5 & 7 & 0.09589 & 0.356164 & 0.019178 \tabularnewline
[-5,0[ & -2.5 & 7 & 0.09589 & 0.452055 & 0.019178 \tabularnewline
[0,5[ & 2.5 & 15 & 0.205479 & 0.657534 & 0.041096 \tabularnewline
[5,10[ & 7.5 & 11 & 0.150685 & 0.808219 & 0.030137 \tabularnewline
[10,15[ & 12.5 & 10 & 0.136986 & 0.945205 & 0.027397 \tabularnewline
[15,20] & 17.5 & 4 & 0.054795 & 1 & 0.010959 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=233506&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][-25,-20[[/C][C]-22.5[/C][C]6[/C][C]0.082192[/C][C]0.082192[/C][C]0.016438[/C][/ROW]
[ROW][C][-20,-15[[/C][C]-17.5[/C][C]7[/C][C]0.09589[/C][C]0.178082[/C][C]0.019178[/C][/ROW]
[ROW][C][-15,-10[[/C][C]-12.5[/C][C]6[/C][C]0.082192[/C][C]0.260274[/C][C]0.016438[/C][/ROW]
[ROW][C][-10,-5[[/C][C]-7.5[/C][C]7[/C][C]0.09589[/C][C]0.356164[/C][C]0.019178[/C][/ROW]
[ROW][C][-5,0[[/C][C]-2.5[/C][C]7[/C][C]0.09589[/C][C]0.452055[/C][C]0.019178[/C][/ROW]
[ROW][C][0,5[[/C][C]2.5[/C][C]15[/C][C]0.205479[/C][C]0.657534[/C][C]0.041096[/C][/ROW]
[ROW][C][5,10[[/C][C]7.5[/C][C]11[/C][C]0.150685[/C][C]0.808219[/C][C]0.030137[/C][/ROW]
[ROW][C][10,15[[/C][C]12.5[/C][C]10[/C][C]0.136986[/C][C]0.945205[/C][C]0.027397[/C][/ROW]
[ROW][C][15,20][/C][C]17.5[/C][C]4[/C][C]0.054795[/C][C]1[/C][C]0.010959[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=233506&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=233506&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
[-25,-20[-22.560.0821920.0821920.016438
[-20,-15[-17.570.095890.1780820.019178
[-15,-10[-12.560.0821920.2602740.016438
[-10,-5[-7.570.095890.3561640.019178
[-5,0[-2.570.095890.4520550.019178
[0,5[2.5150.2054790.6575340.041096
[5,10[7.5110.1506850.8082190.030137
[10,15[12.5100.1369860.9452050.027397
[15,20]17.540.05479510.010959


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')
}