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of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationTue, 30 Sep 2014 13:42:52 +0100
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/Sep/30/t1412080990fd5i02622aqqfr1.htm/, Retrieved Fri, 10 May 2024 19:08:20 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=236993, Retrieved Fri, 10 May 2024 19:08:20 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact72
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [] [2014-09-28 18:43:41] [5ec968f6342c3a2f2357137b8ba7cfaf]
- R PD  [Univariate Data Series] [] [2014-09-28 18:49:56] [5ec968f6342c3a2f2357137b8ba7cfaf]
- RMPD      [Histogram] [] [2014-09-30 12:42:52] [fc9e02cb2d6d14d0c83d12e3a82852a5] [Current]
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Dataseries X:
6
1.5
5.7
16.7
11.1
6.7
12
11.2
11.3
15.7
8.8
4.7
3.4
-2.8
3
-6.7
-10.4
-8.7
-14.7
-21.8
-26
-28.4
-26.7
-26.2
-32.7
-32.8
-37.1
-36.3
-32.2
-36
-30.6
-23.6
-16.3
-32.4
-25.8
-23.1
-17.4
-10.5
-7.8
1.7
4.6
-6.4
-0.1
-3.3
1.9
2.5
1.2
1.6
0.8
4.9
-2.2
2.3
-3.6
-3.8
-3.9
-3.3
-15.8
-18.4
-19.5
-21.6
-23
-22.2
-19.4
-17.2
-18.5
-11.1
-13.6
-17.4
-14.5
-15.2
-8.1
-3.9
-5.2
-9.7
-15.7
-20.2
-15
-16.9
-21.6
-10.8
-12.1
-3
-7.8
-6.5




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=236993&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=236993&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=236993&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
[-40,-35[-37.530.0357140.0357140.007143
[-35,-30[-32.550.0595240.0952380.011905
[-30,-25[-27.550.0595240.1547620.011905
[-25,-20[-22.580.0952380.250.019048
[-20,-15[-17.5120.1428570.3928570.028571
[-15,-10[-12.590.1071430.50.021429
[-10,-5[-7.590.1071430.6071430.021429
[-5,0[-2.5100.1190480.726190.02381
[0,5[2.5130.1547620.8809520.030952
[5,10[7.540.0476190.9285710.009524
[10,15[12.540.0476190.976190.009524
[15,20]17.520.0238110.004762

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[-40,-35[ & -37.5 & 3 & 0.035714 & 0.035714 & 0.007143 \tabularnewline
[-35,-30[ & -32.5 & 5 & 0.059524 & 0.095238 & 0.011905 \tabularnewline
[-30,-25[ & -27.5 & 5 & 0.059524 & 0.154762 & 0.011905 \tabularnewline
[-25,-20[ & -22.5 & 8 & 0.095238 & 0.25 & 0.019048 \tabularnewline
[-20,-15[ & -17.5 & 12 & 0.142857 & 0.392857 & 0.028571 \tabularnewline
[-15,-10[ & -12.5 & 9 & 0.107143 & 0.5 & 0.021429 \tabularnewline
[-10,-5[ & -7.5 & 9 & 0.107143 & 0.607143 & 0.021429 \tabularnewline
[-5,0[ & -2.5 & 10 & 0.119048 & 0.72619 & 0.02381 \tabularnewline
[0,5[ & 2.5 & 13 & 0.154762 & 0.880952 & 0.030952 \tabularnewline
[5,10[ & 7.5 & 4 & 0.047619 & 0.928571 & 0.009524 \tabularnewline
[10,15[ & 12.5 & 4 & 0.047619 & 0.97619 & 0.009524 \tabularnewline
[15,20] & 17.5 & 2 & 0.02381 & 1 & 0.004762 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=236993&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][-40,-35[[/C][C]-37.5[/C][C]3[/C][C]0.035714[/C][C]0.035714[/C][C]0.007143[/C][/ROW]
[ROW][C][-35,-30[[/C][C]-32.5[/C][C]5[/C][C]0.059524[/C][C]0.095238[/C][C]0.011905[/C][/ROW]
[ROW][C][-30,-25[[/C][C]-27.5[/C][C]5[/C][C]0.059524[/C][C]0.154762[/C][C]0.011905[/C][/ROW]
[ROW][C][-25,-20[[/C][C]-22.5[/C][C]8[/C][C]0.095238[/C][C]0.25[/C][C]0.019048[/C][/ROW]
[ROW][C][-20,-15[[/C][C]-17.5[/C][C]12[/C][C]0.142857[/C][C]0.392857[/C][C]0.028571[/C][/ROW]
[ROW][C][-15,-10[[/C][C]-12.5[/C][C]9[/C][C]0.107143[/C][C]0.5[/C][C]0.021429[/C][/ROW]
[ROW][C][-10,-5[[/C][C]-7.5[/C][C]9[/C][C]0.107143[/C][C]0.607143[/C][C]0.021429[/C][/ROW]
[ROW][C][-5,0[[/C][C]-2.5[/C][C]10[/C][C]0.119048[/C][C]0.72619[/C][C]0.02381[/C][/ROW]
[ROW][C][0,5[[/C][C]2.5[/C][C]13[/C][C]0.154762[/C][C]0.880952[/C][C]0.030952[/C][/ROW]
[ROW][C][5,10[[/C][C]7.5[/C][C]4[/C][C]0.047619[/C][C]0.928571[/C][C]0.009524[/C][/ROW]
[ROW][C][10,15[[/C][C]12.5[/C][C]4[/C][C]0.047619[/C][C]0.97619[/C][C]0.009524[/C][/ROW]
[ROW][C][15,20][/C][C]17.5[/C][C]2[/C][C]0.02381[/C][C]1[/C][C]0.004762[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=236993&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=236993&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
[-40,-35[-37.530.0357140.0357140.007143
[-35,-30[-32.550.0595240.0952380.011905
[-30,-25[-27.550.0595240.1547620.011905
[-25,-20[-22.580.0952380.250.019048
[-20,-15[-17.5120.1428570.3928570.028571
[-15,-10[-12.590.1071430.50.021429
[-10,-5[-7.590.1071430.6071430.021429
[-5,0[-2.5100.1190480.726190.02381
[0,5[2.5130.1547620.8809520.030952
[5,10[7.540.0476190.9285710.009524
[10,15[12.540.0476190.976190.009524
[15,20]17.520.0238110.004762



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')
}