Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationMon, 23 Sep 2013 05:17:00 -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/23/t1379927859kffeq6bqkk44ct8.htm/, Retrieved Mon, 29 Apr 2024 03:47:44 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=211734, Retrieved Mon, 29 Apr 2024 03:47:44 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact83
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [] [2013-09-23 09:03:58] [ae3d1feb555b13e324db089723206180]
- RMPD    [Histogram] [] [2013-09-23 09:17:00] [188bf81caccb86647293be436f272d1b] [Current]
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Dataseries X:
1.41
1.42
1.43
1.43
1.43
1.43
1.43
1.44
1.44
1.45
1.46
1.46
1.47
1.47
1.47
1.49
1.49
1.49
1.49
1.5
1.52
1.54
1.56
1.56
1.57
1.58
1.59
1.6
1.59
1.6
1.61
1.61
1.61
1.62
1.62
1.61
1.62
1.62
1.63
1.64
1.64
1.64
1.64
1.64
1.65
1.65
1.65
1.65
1.65
1.66
1.66
1.67
1.67
1.67
1.67
1.67
1.67
1.69
1.69
1.69
1.7
1.71
1.72
1.71
1.71
1.71
1.72
1.72
1.72
1.73
1.73
1.73
1.74
1.74
1.75
1.76
1.76
1.77
1.78
1.79
1.8
1.8
1.8
1.81




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=211734&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=211734&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=211734&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'Gwilym Jenkins' @ jenkins.wessa.net







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[1.4,1.45[1.42590.1071430.1071432.142857
[1.45,1.5[1.475100.1190480.226192.380952
[1.5,1.55[1.52530.0357140.2619050.714286
[1.55,1.6[1.57560.0714290.3333331.428571
[1.6,1.65[1.625160.1904760.523813.809524
[1.65,1.7[1.675160.1904760.7142863.809524
[1.7,1.75[1.725140.1666670.8809523.333333
[1.75,1.8[1.77560.0714290.9523811.428571
[1.8,1.85]1.82540.04761910.952381

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[1.4,1.45[ & 1.425 & 9 & 0.107143 & 0.107143 & 2.142857 \tabularnewline
[1.45,1.5[ & 1.475 & 10 & 0.119048 & 0.22619 & 2.380952 \tabularnewline
[1.5,1.55[ & 1.525 & 3 & 0.035714 & 0.261905 & 0.714286 \tabularnewline
[1.55,1.6[ & 1.575 & 6 & 0.071429 & 0.333333 & 1.428571 \tabularnewline
[1.6,1.65[ & 1.625 & 16 & 0.190476 & 0.52381 & 3.809524 \tabularnewline
[1.65,1.7[ & 1.675 & 16 & 0.190476 & 0.714286 & 3.809524 \tabularnewline
[1.7,1.75[ & 1.725 & 14 & 0.166667 & 0.880952 & 3.333333 \tabularnewline
[1.75,1.8[ & 1.775 & 6 & 0.071429 & 0.952381 & 1.428571 \tabularnewline
[1.8,1.85] & 1.825 & 4 & 0.047619 & 1 & 0.952381 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=211734&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][1.4,1.45[[/C][C]1.425[/C][C]9[/C][C]0.107143[/C][C]0.107143[/C][C]2.142857[/C][/ROW]
[ROW][C][1.45,1.5[[/C][C]1.475[/C][C]10[/C][C]0.119048[/C][C]0.22619[/C][C]2.380952[/C][/ROW]
[ROW][C][1.5,1.55[[/C][C]1.525[/C][C]3[/C][C]0.035714[/C][C]0.261905[/C][C]0.714286[/C][/ROW]
[ROW][C][1.55,1.6[[/C][C]1.575[/C][C]6[/C][C]0.071429[/C][C]0.333333[/C][C]1.428571[/C][/ROW]
[ROW][C][1.6,1.65[[/C][C]1.625[/C][C]16[/C][C]0.190476[/C][C]0.52381[/C][C]3.809524[/C][/ROW]
[ROW][C][1.65,1.7[[/C][C]1.675[/C][C]16[/C][C]0.190476[/C][C]0.714286[/C][C]3.809524[/C][/ROW]
[ROW][C][1.7,1.75[[/C][C]1.725[/C][C]14[/C][C]0.166667[/C][C]0.880952[/C][C]3.333333[/C][/ROW]
[ROW][C][1.75,1.8[[/C][C]1.775[/C][C]6[/C][C]0.071429[/C][C]0.952381[/C][C]1.428571[/C][/ROW]
[ROW][C][1.8,1.85][/C][C]1.825[/C][C]4[/C][C]0.047619[/C][C]1[/C][C]0.952381[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=211734&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=211734&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
[1.4,1.45[1.42590.1071430.1071432.142857
[1.45,1.5[1.475100.1190480.226192.380952
[1.5,1.55[1.52530.0357140.2619050.714286
[1.55,1.6[1.57560.0714290.3333331.428571
[1.6,1.65[1.625160.1904760.523813.809524
[1.65,1.7[1.675160.1904760.7142863.809524
[1.7,1.75[1.725140.1666670.8809523.333333
[1.75,1.8[1.77560.0714290.9523811.428571
[1.8,1.85]1.82540.04761910.952381



Parameters (Session):
par1 = 10 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = 10 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
R code (references can be found in the software module):
par4 <- 'Unknown'
par3 <- 'FALSE'
par2 <- 'grey'
par1 <- '5'
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')
}