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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 18:24:32 -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/t1355786687q04hdpna3eec8z2.htm/, Retrieved Thu, 25 Apr 2024 21:54:25 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=201251, Retrieved Thu, 25 Apr 2024 21:54:25 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact117

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] [0ee39c4db763367d76b81eeea0021391]
- R  D      [Histogram] [Paper_D2_Unpaired...] [2012-12-17 23:24:32] [ddb0733c84f7879813cb9fbdaebb43ad] [Current]
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Dataset

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

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'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 & 1 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=201251&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=201251&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=201251&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'Gertrude Mary Cox' @ cox.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[0,2[180.1142860.1142860.057143
[2,4[370.10.2142860.05
[4,6[560.0857140.30.042857
[6,8[770.10.40.05
[8,10[9120.1714290.5714290.085714
[10,12[1110.0142860.5857140.007143
[12,14[1330.0428570.6285710.021429
[14,16[1560.0857140.7142860.042857
[16,18[17100.1428570.8571430.071429
[18,20]19100.14285710.071429

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0,2[ & 1 & 8 & 0.114286 & 0.114286 & 0.057143 \tabularnewline
[2,4[ & 3 & 7 & 0.1 & 0.214286 & 0.05 \tabularnewline
[4,6[ & 5 & 6 & 0.085714 & 0.3 & 0.042857 \tabularnewline
[6,8[ & 7 & 7 & 0.1 & 0.4 & 0.05 \tabularnewline
[8,10[ & 9 & 12 & 0.171429 & 0.571429 & 0.085714 \tabularnewline
[10,12[ & 11 & 1 & 0.014286 & 0.585714 & 0.007143 \tabularnewline
[12,14[ & 13 & 3 & 0.042857 & 0.628571 & 0.021429 \tabularnewline
[14,16[ & 15 & 6 & 0.085714 & 0.714286 & 0.042857 \tabularnewline
[16,18[ & 17 & 10 & 0.142857 & 0.857143 & 0.071429 \tabularnewline
[18,20] & 19 & 10 & 0.142857 & 1 & 0.071429 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=201251&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]8[/C][C]0.114286[/C][C]0.114286[/C][C]0.057143[/C][/ROW]
[ROW][C][2,4[[/C][C]3[/C][C]7[/C][C]0.1[/C][C]0.214286[/C][C]0.05[/C][/ROW]
[ROW][C][4,6[[/C][C]5[/C][C]6[/C][C]0.085714[/C][C]0.3[/C][C]0.042857[/C][/ROW]
[ROW][C][6,8[[/C][C]7[/C][C]7[/C][C]0.1[/C][C]0.4[/C][C]0.05[/C][/ROW]
[ROW][C][8,10[[/C][C]9[/C][C]12[/C][C]0.171429[/C][C]0.571429[/C][C]0.085714[/C][/ROW]
[ROW][C][10,12[[/C][C]11[/C][C]1[/C][C]0.014286[/C][C]0.585714[/C][C]0.007143[/C][/ROW]
[ROW][C][12,14[[/C][C]13[/C][C]3[/C][C]0.042857[/C][C]0.628571[/C][C]0.021429[/C][/ROW]
[ROW][C][14,16[[/C][C]15[/C][C]6[/C][C]0.085714[/C][C]0.714286[/C][C]0.042857[/C][/ROW]
[ROW][C][16,18[[/C][C]17[/C][C]10[/C][C]0.142857[/C][C]0.857143[/C][C]0.071429[/C][/ROW]
[ROW][C][18,20][/C][C]19[/C][C]10[/C][C]0.142857[/C][C]1[/C][C]0.071429[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=201251&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=201251&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[180.1142860.1142860.057143
[2,4[370.10.2142860.05
[4,6[560.0857140.30.042857
[6,8[770.10.40.05
[8,10[9120.1714290.5714290.085714
[10,12[1110.0142860.5857140.007143
[12,14[1330.0428570.6285710.021429
[14,16[1560.0857140.7142860.042857
[16,18[17100.1428570.8571430.071429
[18,20]19100.14285710.071429


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')
}