Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationThu, 26 Sep 2013 10:51:21 -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/2013/Sep/26/t1380207137zramz114vpdf73h.htm/, Retrieved Mon, 29 Apr 2024 10:00:12 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=212137, Retrieved Mon, 29 Apr 2024 10:00:12 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact62
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Histogram] [] [2013-09-23 10:20:10] [520d9ebc87bc557903715fb12897748b]
- R P     [Histogram] [] [2013-09-26 14:51:21] [17e53cb7c94beab0adf1165deaf51c6f] [Current]
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Dataseries X:
3.43
3.43
3.43
3.43
3.43
3.43
3.43
3.43
3.5
3.52
3.53
3.53
3.53
3.53
3.53
3.53
3.53
3.53
3.53
3.53
3.58
3.58
3.59
3.59
3.59
3.59
3.59
3.59
3.59
3.59
3.59
3.61
3.71
3.83
3.83
3.83
3.83
3.83
3.83
3.83
3.83
3.83
3.83
3.83
3.92
3.92
3.92
3.92
3.92
3.92
3.92
3.92
3.92
3.92
3.92
3.92
3.98
3.98
3.98
3.98
3.98
3.98
3.98
3.98
3.98
3.98
3.98
3.98
4.09
4.09
4.09
4.09
4.09
4.09
4.09
4.09
4.09
4.09
4.09
4.09
4.21
4.21
4.21
4.21




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=212137&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=212137&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212137&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 time2 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[3.4,3.5[3.4580.0952380.0952380.952381
[3.5,3.6[3.55230.273810.3690482.738095
[3.6,3.7[3.6510.0119050.3809520.119048
[3.7,3.8[3.7510.0119050.3928570.119048
[3.8,3.9[3.85110.1309520.523811.309524
[3.9,4[3.95240.2857140.8095242.857143
[4,4.1[4.05120.1428570.9523811.428571
[4.1,4.2[4.15000.9523810
[4.2,4.3]4.2540.04761910.47619

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[3.4,3.5[ & 3.45 & 8 & 0.095238 & 0.095238 & 0.952381 \tabularnewline
[3.5,3.6[ & 3.55 & 23 & 0.27381 & 0.369048 & 2.738095 \tabularnewline
[3.6,3.7[ & 3.65 & 1 & 0.011905 & 0.380952 & 0.119048 \tabularnewline
[3.7,3.8[ & 3.75 & 1 & 0.011905 & 0.392857 & 0.119048 \tabularnewline
[3.8,3.9[ & 3.85 & 11 & 0.130952 & 0.52381 & 1.309524 \tabularnewline
[3.9,4[ & 3.95 & 24 & 0.285714 & 0.809524 & 2.857143 \tabularnewline
[4,4.1[ & 4.05 & 12 & 0.142857 & 0.952381 & 1.428571 \tabularnewline
[4.1,4.2[ & 4.15 & 0 & 0 & 0.952381 & 0 \tabularnewline
[4.2,4.3] & 4.25 & 4 & 0.047619 & 1 & 0.47619 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=212137&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][3.4,3.5[[/C][C]3.45[/C][C]8[/C][C]0.095238[/C][C]0.095238[/C][C]0.952381[/C][/ROW]
[ROW][C][3.5,3.6[[/C][C]3.55[/C][C]23[/C][C]0.27381[/C][C]0.369048[/C][C]2.738095[/C][/ROW]
[ROW][C][3.6,3.7[[/C][C]3.65[/C][C]1[/C][C]0.011905[/C][C]0.380952[/C][C]0.119048[/C][/ROW]
[ROW][C][3.7,3.8[[/C][C]3.75[/C][C]1[/C][C]0.011905[/C][C]0.392857[/C][C]0.119048[/C][/ROW]
[ROW][C][3.8,3.9[[/C][C]3.85[/C][C]11[/C][C]0.130952[/C][C]0.52381[/C][C]1.309524[/C][/ROW]
[ROW][C][3.9,4[[/C][C]3.95[/C][C]24[/C][C]0.285714[/C][C]0.809524[/C][C]2.857143[/C][/ROW]
[ROW][C][4,4.1[[/C][C]4.05[/C][C]12[/C][C]0.142857[/C][C]0.952381[/C][C]1.428571[/C][/ROW]
[ROW][C][4.1,4.2[[/C][C]4.15[/C][C]0[/C][C]0[/C][C]0.952381[/C][C]0[/C][/ROW]
[ROW][C][4.2,4.3][/C][C]4.25[/C][C]4[/C][C]0.047619[/C][C]1[/C][C]0.47619[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=212137&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212137&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
[3.4,3.5[3.4580.0952380.0952380.952381
[3.5,3.6[3.55230.273810.3690482.738095
[3.6,3.7[3.6510.0119050.3809520.119048
[3.7,3.8[3.7510.0119050.3928570.119048
[3.8,3.9[3.85110.1309520.523811.309524
[3.9,4[3.95240.2857140.8095242.857143
[4,4.1[4.05120.1428570.9523811.428571
[4.1,4.2[4.15000.9523810
[4.2,4.3]4.2540.04761910.47619



Parameters (Session):
par1 = 4 ; 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')
}