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Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationThu, 27 Sep 2012 17:24:59 -0400
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/Sep/27/t1348781211xm9fracnujifwvh.htm/, Retrieved Mon, 29 Apr 2024 09:03:59 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=170142, Retrieved Mon, 29 Apr 2024 09:03:59 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact103
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Frequentietabel v...] [2012-09-27 21:24:59] [085453999911cf7fe9b8fc00057e83b9] [Current]
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Dataseries X:
2,1
2,1
2,11
2,12
2,13
2,13
2,13
2,13
2,14
2,15
2,16
2,17
2,16
2,2
2,19
2,2
2,2
2,2
2,21
2,22
2,25
2,33
2,33
2,35
2,37
2,38
2,38
2,41
2,41
2,41
2,41
2,42
2,42
2,43
2,44
2,44
2,43
2,44
2,44
2,44
2,44
2,44
2,43
2,42
2,43
2,43
2,43
2,43
2,43
2,44
2,43
2,43
2,44
2,43
2,43
2,44
2,46
2,48
2,49
2,5
2,53
2,55
2,57
2,56
2,56
2,57
2,56
2,57
2,58
2,58
2,58
2,59




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=170142&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=170142&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=170142&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







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[2.1,2.15[2.12590.1250.1252.5
[2.15,2.2[2.17550.0694440.1944441.388889
[2.2,2.25[2.22560.0833330.2777781.666667
[2.25,2.3[2.27510.0138890.2916670.277778
[2.3,2.35[2.32520.0277780.3194440.555556
[2.35,2.4[2.37540.0555560.3751.111111
[2.4,2.45[2.425290.4027780.7777788.055556
[2.45,2.5[2.47530.0416670.8194440.833333
[2.5,2.55[2.52520.0277780.8472220.555556
[2.55,2.6]2.575110.15277813.055556

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[2.1,2.15[ & 2.125 & 9 & 0.125 & 0.125 & 2.5 \tabularnewline
[2.15,2.2[ & 2.175 & 5 & 0.069444 & 0.194444 & 1.388889 \tabularnewline
[2.2,2.25[ & 2.225 & 6 & 0.083333 & 0.277778 & 1.666667 \tabularnewline
[2.25,2.3[ & 2.275 & 1 & 0.013889 & 0.291667 & 0.277778 \tabularnewline
[2.3,2.35[ & 2.325 & 2 & 0.027778 & 0.319444 & 0.555556 \tabularnewline
[2.35,2.4[ & 2.375 & 4 & 0.055556 & 0.375 & 1.111111 \tabularnewline
[2.4,2.45[ & 2.425 & 29 & 0.402778 & 0.777778 & 8.055556 \tabularnewline
[2.45,2.5[ & 2.475 & 3 & 0.041667 & 0.819444 & 0.833333 \tabularnewline
[2.5,2.55[ & 2.525 & 2 & 0.027778 & 0.847222 & 0.555556 \tabularnewline
[2.55,2.6] & 2.575 & 11 & 0.152778 & 1 & 3.055556 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=170142&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][2.1,2.15[[/C][C]2.125[/C][C]9[/C][C]0.125[/C][C]0.125[/C][C]2.5[/C][/ROW]
[ROW][C][2.15,2.2[[/C][C]2.175[/C][C]5[/C][C]0.069444[/C][C]0.194444[/C][C]1.388889[/C][/ROW]
[ROW][C][2.2,2.25[[/C][C]2.225[/C][C]6[/C][C]0.083333[/C][C]0.277778[/C][C]1.666667[/C][/ROW]
[ROW][C][2.25,2.3[[/C][C]2.275[/C][C]1[/C][C]0.013889[/C][C]0.291667[/C][C]0.277778[/C][/ROW]
[ROW][C][2.3,2.35[[/C][C]2.325[/C][C]2[/C][C]0.027778[/C][C]0.319444[/C][C]0.555556[/C][/ROW]
[ROW][C][2.35,2.4[[/C][C]2.375[/C][C]4[/C][C]0.055556[/C][C]0.375[/C][C]1.111111[/C][/ROW]
[ROW][C][2.4,2.45[[/C][C]2.425[/C][C]29[/C][C]0.402778[/C][C]0.777778[/C][C]8.055556[/C][/ROW]
[ROW][C][2.45,2.5[[/C][C]2.475[/C][C]3[/C][C]0.041667[/C][C]0.819444[/C][C]0.833333[/C][/ROW]
[ROW][C][2.5,2.55[[/C][C]2.525[/C][C]2[/C][C]0.027778[/C][C]0.847222[/C][C]0.555556[/C][/ROW]
[ROW][C][2.55,2.6][/C][C]2.575[/C][C]11[/C][C]0.152778[/C][C]1[/C][C]3.055556[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=170142&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=170142&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
[2.1,2.15[2.12590.1250.1252.5
[2.15,2.2[2.17550.0694440.1944441.388889
[2.2,2.25[2.22560.0833330.2777781.666667
[2.25,2.3[2.27510.0138890.2916670.277778
[2.3,2.35[2.32520.0277780.3194440.555556
[2.35,2.4[2.37540.0555560.3751.111111
[2.4,2.45[2.425290.4027780.7777788.055556
[2.45,2.5[2.47530.0416670.8194440.833333
[2.5,2.55[2.52520.0277780.8472220.555556
[2.55,2.6]2.575110.15277813.055556



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')
}