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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationMon, 17 Dec 2012 18:22:42 -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/Dec/17/t1355786579xbvasn97268lz5x.htm/, Retrieved Fri, 19 Apr 2024 11:39:14 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=201249, Retrieved Fri, 19 Apr 2024 11:39:14 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact87

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Paired and Unpaired Two Samples Tests about the Mean] [Paper_D2_Unpaired...] [2012-12-17 23:07:04] [0ee39c4db763367d76b81eeea0021391]
- RMPD    [Histogram] [Paper_D2_Unpaired...] [2012-12-17 23:22:42] [ddb0733c84f7879813cb9fbdaebb43ad] [Current]
- R  D      [Histogram] [Paper_D2_Unpaired...] [2012-12-17 23:24:32] [0ee39c4db763367d76b81eeea0021391]
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Dataset

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

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'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 & 2 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=201249&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=201249&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=201249&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'Herman Ole Andreas Wold' @ wold.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[0,2[190.1285710.1285710.064286
[2,4[380.1142860.2428570.057143
[4,6[570.10.3428570.05
[6,8[750.0714290.4142860.035714
[8,10[960.0857140.50.042857
[10,12[1180.1142860.6142860.057143
[12,14[1370.10.7142860.05
[14,16[1560.0857140.80.042857
[16,18[1750.0714290.8714290.035714
[18,20]1990.12857110.064286

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0,2[ & 1 & 9 & 0.128571 & 0.128571 & 0.064286 \tabularnewline
[2,4[ & 3 & 8 & 0.114286 & 0.242857 & 0.057143 \tabularnewline
[4,6[ & 5 & 7 & 0.1 & 0.342857 & 0.05 \tabularnewline
[6,8[ & 7 & 5 & 0.071429 & 0.414286 & 0.035714 \tabularnewline
[8,10[ & 9 & 6 & 0.085714 & 0.5 & 0.042857 \tabularnewline
[10,12[ & 11 & 8 & 0.114286 & 0.614286 & 0.057143 \tabularnewline
[12,14[ & 13 & 7 & 0.1 & 0.714286 & 0.05 \tabularnewline
[14,16[ & 15 & 6 & 0.085714 & 0.8 & 0.042857 \tabularnewline
[16,18[ & 17 & 5 & 0.071429 & 0.871429 & 0.035714 \tabularnewline
[18,20] & 19 & 9 & 0.128571 & 1 & 0.064286 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=201249&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][0,2[[/C][C]1[/C][C]9[/C][C]0.128571[/C][C]0.128571[/C][C]0.064286[/C][/ROW]
[ROW][C][2,4[[/C][C]3[/C][C]8[/C][C]0.114286[/C][C]0.242857[/C][C]0.057143[/C][/ROW]
[ROW][C][4,6[[/C][C]5[/C][C]7[/C][C]0.1[/C][C]0.342857[/C][C]0.05[/C][/ROW]
[ROW][C][6,8[[/C][C]7[/C][C]5[/C][C]0.071429[/C][C]0.414286[/C][C]0.035714[/C][/ROW]
[ROW][C][8,10[[/C][C]9[/C][C]6[/C][C]0.085714[/C][C]0.5[/C][C]0.042857[/C][/ROW]
[ROW][C][10,12[[/C][C]11[/C][C]8[/C][C]0.114286[/C][C]0.614286[/C][C]0.057143[/C][/ROW]
[ROW][C][12,14[[/C][C]13[/C][C]7[/C][C]0.1[/C][C]0.714286[/C][C]0.05[/C][/ROW]
[ROW][C][14,16[[/C][C]15[/C][C]6[/C][C]0.085714[/C][C]0.8[/C][C]0.042857[/C][/ROW]
[ROW][C][16,18[[/C][C]17[/C][C]5[/C][C]0.071429[/C][C]0.871429[/C][C]0.035714[/C][/ROW]
[ROW][C][18,20][/C][C]19[/C][C]9[/C][C]0.128571[/C][C]1[/C][C]0.064286[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=201249&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=201249&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
[0,2[190.1285710.1285710.064286
[2,4[380.1142860.2428570.057143
[4,6[570.10.3428570.05
[6,8[750.0714290.4142860.035714
[8,10[960.0857140.50.042857
[10,12[1180.1142860.6142860.057143
[12,14[1370.10.7142860.05
[14,16[1560.0857140.80.042857
[16,18[1750.0714290.8714290.035714
[18,20]1990.12857110.064286


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):
par4 <- 'Unknown'
par3 <- 'FALSE'
par2 <- 'grey'
par1 <- ''
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')
}