Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationSun, 09 Feb 2014 17:35:10 -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/t1391985327bw47eu12929284m.htm/, Retrieved Sat, 18 May 2024 05:43:55 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=233531, Retrieved Sat, 18 May 2024 05:43:55 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact80
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Histogram] [] [2014-02-09 22:29:45] [81aa55046b9483ad574c1beb765d747c]
- R PD    [Histogram] [] [2014-02-09 22:35:10] [aa1782934d0b081042c527b5804d60cd] [Current]
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Dataseries X:
-2
0
1
-3
-3
-5
-7
-7
-5
-13
-16
-20
-18
-21
-20
-16
-14
-12
-10
-3
-4
-4
-1
-8
-10
-11
-7
-2
-6
-4
0
2
2
5
8
8
5
10
6
6
9
5
5
-4
-5
-1
-8
-8
-13
-18
-8
-8
-6
-5
-11
-14
-12
-13
-19
-21
-22
-13
-21
-17
-15
-14
-11
-8
-3
-2
-1
1






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
R Framework error message
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.

\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
R Framework error message & 
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
\tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=233531&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]
[ROW][C]R Framework error message[/C][C]
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=233531&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=233531&T=0

As an alternative you can also use a 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
R Framework error message
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[-22,-20[-2140.0555560.0555560.027778
[-20,-18[-1930.0416670.0972220.020833
[-18,-16[-1730.0416670.1388890.020833
[-16,-14[-1530.0416670.1805560.020833
[-14,-12[-1370.0972220.2777780.048611
[-12,-10[-1150.0694440.3472220.034722
[-10,-8[-920.0277780.3750.013889
[-8,-6[-790.1250.50.0625
[-6,-4[-560.0833330.5833330.041667
[-4,-2[-380.1111110.6944440.055556
[-2,0[-160.0833330.7777780.041667
[0,2[140.0555560.8333330.027778
[2,4[320.0277780.8611110.013889
[4,6[540.0555560.9166670.027778
[6,8[720.0277780.9444440.013889
[8,10]940.05555610.027778

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[-22,-20[ & -21 & 4 & 0.055556 & 0.055556 & 0.027778 \tabularnewline
[-20,-18[ & -19 & 3 & 0.041667 & 0.097222 & 0.020833 \tabularnewline
[-18,-16[ & -17 & 3 & 0.041667 & 0.138889 & 0.020833 \tabularnewline
[-16,-14[ & -15 & 3 & 0.041667 & 0.180556 & 0.020833 \tabularnewline
[-14,-12[ & -13 & 7 & 0.097222 & 0.277778 & 0.048611 \tabularnewline
[-12,-10[ & -11 & 5 & 0.069444 & 0.347222 & 0.034722 \tabularnewline
[-10,-8[ & -9 & 2 & 0.027778 & 0.375 & 0.013889 \tabularnewline
[-8,-6[ & -7 & 9 & 0.125 & 0.5 & 0.0625 \tabularnewline
[-6,-4[ & -5 & 6 & 0.083333 & 0.583333 & 0.041667 \tabularnewline
[-4,-2[ & -3 & 8 & 0.111111 & 0.694444 & 0.055556 \tabularnewline
[-2,0[ & -1 & 6 & 0.083333 & 0.777778 & 0.041667 \tabularnewline
[0,2[ & 1 & 4 & 0.055556 & 0.833333 & 0.027778 \tabularnewline
[2,4[ & 3 & 2 & 0.027778 & 0.861111 & 0.013889 \tabularnewline
[4,6[ & 5 & 4 & 0.055556 & 0.916667 & 0.027778 \tabularnewline
[6,8[ & 7 & 2 & 0.027778 & 0.944444 & 0.013889 \tabularnewline
[8,10] & 9 & 4 & 0.055556 & 1 & 0.027778 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=233531&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][-22,-20[[/C][C]-21[/C][C]4[/C][C]0.055556[/C][C]0.055556[/C][C]0.027778[/C][/ROW]
[ROW][C][-20,-18[[/C][C]-19[/C][C]3[/C][C]0.041667[/C][C]0.097222[/C][C]0.020833[/C][/ROW]
[ROW][C][-18,-16[[/C][C]-17[/C][C]3[/C][C]0.041667[/C][C]0.138889[/C][C]0.020833[/C][/ROW]
[ROW][C][-16,-14[[/C][C]-15[/C][C]3[/C][C]0.041667[/C][C]0.180556[/C][C]0.020833[/C][/ROW]
[ROW][C][-14,-12[[/C][C]-13[/C][C]7[/C][C]0.097222[/C][C]0.277778[/C][C]0.048611[/C][/ROW]
[ROW][C][-12,-10[[/C][C]-11[/C][C]5[/C][C]0.069444[/C][C]0.347222[/C][C]0.034722[/C][/ROW]
[ROW][C][-10,-8[[/C][C]-9[/C][C]2[/C][C]0.027778[/C][C]0.375[/C][C]0.013889[/C][/ROW]
[ROW][C][-8,-6[[/C][C]-7[/C][C]9[/C][C]0.125[/C][C]0.5[/C][C]0.0625[/C][/ROW]
[ROW][C][-6,-4[[/C][C]-5[/C][C]6[/C][C]0.083333[/C][C]0.583333[/C][C]0.041667[/C][/ROW]
[ROW][C][-4,-2[[/C][C]-3[/C][C]8[/C][C]0.111111[/C][C]0.694444[/C][C]0.055556[/C][/ROW]
[ROW][C][-2,0[[/C][C]-1[/C][C]6[/C][C]0.083333[/C][C]0.777778[/C][C]0.041667[/C][/ROW]
[ROW][C][0,2[[/C][C]1[/C][C]4[/C][C]0.055556[/C][C]0.833333[/C][C]0.027778[/C][/ROW]
[ROW][C][2,4[[/C][C]3[/C][C]2[/C][C]0.027778[/C][C]0.861111[/C][C]0.013889[/C][/ROW]
[ROW][C][4,6[[/C][C]5[/C][C]4[/C][C]0.055556[/C][C]0.916667[/C][C]0.027778[/C][/ROW]
[ROW][C][6,8[[/C][C]7[/C][C]2[/C][C]0.027778[/C][C]0.944444[/C][C]0.013889[/C][/ROW]
[ROW][C][8,10][/C][C]9[/C][C]4[/C][C]0.055556[/C][C]1[/C][C]0.027778[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=233531&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=233531&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[-22,-20[-2140.0555560.0555560.027778
[-20,-18[-1930.0416670.0972220.020833
[-18,-16[-1730.0416670.1388890.020833
[-16,-14[-1530.0416670.1805560.020833
[-14,-12[-1370.0972220.2777780.048611
[-12,-10[-1150.0694440.3472220.034722
[-10,-8[-920.0277780.3750.013889
[-8,-6[-790.1250.50.0625
[-6,-4[-560.0833330.5833330.041667
[-4,-2[-380.1111110.6944440.055556
[-2,0[-160.0833330.7777780.041667
[0,2[140.0555560.8333330.027778
[2,4[320.0277780.8611110.013889
[4,6[540.0555560.9166670.027778
[6,8[720.0277780.9444440.013889
[8,10]940.05555610.027778



Parameters (Session):
par1 = 14 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = 14 ; 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')
}