Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationMon, 13 Feb 2012 06:40:26 -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/Feb/13/t1329133290q53cvbqr1yspb4v.htm/, Retrieved Thu, 02 May 2024 16:13:20 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=162182, Retrieved Thu, 02 May 2024 16:13:20 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact156
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Histogram] [] [2012-02-07 15:43:14] [19d432ae4b4462eaaacef8aec4bfca7d]
- R  D    [Histogram] [] [2012-02-13 11:40:26] [48b933cf7efbf78e0756284cf4760cf4] [Current]
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Dataseries X:
1.05
1.07
1.07
1.06
1.08
1.11
1.09
1.1
1.11
1.12
1.13
1.13
1.13
1.18
1.21
1.22
1.22
1.24
1.24
1.25
1.25
1.26
1.26
1.26
1.26
1.3
1.32
1.34
1.35
1.35
1.34
1.33
1.32
1.32
1.33
1.31
1.33
1.34
1.34
1.33
1.3
1.28
1.27
1.28
1.27
1.29
1.28
1.29
1.28
1.28
1.28
1.25
1.24
1.24
1.25
1.25
1.26
1.26
1.26
1.28




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=162182&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=162182&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=162182&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'Herman Ole Andreas Wold' @ wold.wessa.net







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[1.05,1.1[1.07560.10.12
[1.1,1.15[1.12570.1166670.2166672.333333
[1.15,1.2[1.17510.0166670.2333330.333333
[1.2,1.25[1.22570.1166670.352.333333
[1.25,1.3[1.275230.3833330.7333337.666667
[1.3,1.35]1.325160.26666715.333333

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[1.05,1.1[ & 1.075 & 6 & 0.1 & 0.1 & 2 \tabularnewline
[1.1,1.15[ & 1.125 & 7 & 0.116667 & 0.216667 & 2.333333 \tabularnewline
[1.15,1.2[ & 1.175 & 1 & 0.016667 & 0.233333 & 0.333333 \tabularnewline
[1.2,1.25[ & 1.225 & 7 & 0.116667 & 0.35 & 2.333333 \tabularnewline
[1.25,1.3[ & 1.275 & 23 & 0.383333 & 0.733333 & 7.666667 \tabularnewline
[1.3,1.35] & 1.325 & 16 & 0.266667 & 1 & 5.333333 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=162182&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][1.05,1.1[[/C][C]1.075[/C][C]6[/C][C]0.1[/C][C]0.1[/C][C]2[/C][/ROW]
[ROW][C][1.1,1.15[[/C][C]1.125[/C][C]7[/C][C]0.116667[/C][C]0.216667[/C][C]2.333333[/C][/ROW]
[ROW][C][1.15,1.2[[/C][C]1.175[/C][C]1[/C][C]0.016667[/C][C]0.233333[/C][C]0.333333[/C][/ROW]
[ROW][C][1.2,1.25[[/C][C]1.225[/C][C]7[/C][C]0.116667[/C][C]0.35[/C][C]2.333333[/C][/ROW]
[ROW][C][1.25,1.3[[/C][C]1.275[/C][C]23[/C][C]0.383333[/C][C]0.733333[/C][C]7.666667[/C][/ROW]
[ROW][C][1.3,1.35][/C][C]1.325[/C][C]16[/C][C]0.266667[/C][C]1[/C][C]5.333333[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=162182&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=162182&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
[1.05,1.1[1.07560.10.12
[1.1,1.15[1.12570.1166670.2166672.333333
[1.15,1.2[1.17510.0166670.2333330.333333
[1.2,1.25[1.22570.1166670.352.333333
[1.25,1.3[1.275230.3833330.7333337.666667
[1.3,1.35]1.325160.26666715.333333



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')
}