Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationSun, 17 Aug 2008 07:42:08 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Aug/17/t1218980625i3ll313fggn1buh.htm/, Retrieved Mon, 13 May 2024 21:18:14 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=14131, Retrieved Mon, 13 May 2024 21:18:14 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsAlain Piscaer 2MAR04
Estimated Impact214
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Opgave 1 Stap 2] [2008-08-17 13:42:08] [0d1085ed835696cdd537ad5fa07600ec] [Current]
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Dataseries X:
1,84
1,89
1,71
1,43
1,28
1,29
1,76
2,78
2,75
3,11
3,03
2,8
2,78
2,04
2,03
1,32
0,93
1,09
1,47
1,99
2,77
2,42
2,05
2,24
2,18
2,11
2,9
2,71
1,45
1,47
1,9
1,87
2,98
2,51
2,41
2,24
2,36
2,18
2,6
1,57
1,38
1,33
1,47
2,41
3,81
3,86
2,58
2,61
2,18
2,03
2,17
1,26
1,3
1,17
1,49
2,09
2,76
2,16
1,95
2,36
2,53
2,23
1,95
1,6
1,33
1,36
1,39
2,25
3,13
2,54
2,17
2,11
2,11
1,88
2,39
1,38
0,97
1,11
1,39
1,94
2,47
1,82
1,99
2,38
2,21
2,13
1,8
1,22
1,02
1,17
1,6
2,12
3
2,23
1,87
2,13




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=14131&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=14131&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=14131&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[0.5,1[0.7520.0208330.0208330.041667
[1,1.5[1.25240.250.2708330.5
[1.5,2[1.75180.18750.4583330.375
[2,2.5[2.25310.3229170.781250.645833
[2.5,3[2.75150.156250.93750.3125
[3,3.5[3.2540.0416670.9791670.083333
[3.5,4]3.7520.02083310.041667

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0.5,1[ & 0.75 & 2 & 0.020833 & 0.020833 & 0.041667 \tabularnewline
[1,1.5[ & 1.25 & 24 & 0.25 & 0.270833 & 0.5 \tabularnewline
[1.5,2[ & 1.75 & 18 & 0.1875 & 0.458333 & 0.375 \tabularnewline
[2,2.5[ & 2.25 & 31 & 0.322917 & 0.78125 & 0.645833 \tabularnewline
[2.5,3[ & 2.75 & 15 & 0.15625 & 0.9375 & 0.3125 \tabularnewline
[3,3.5[ & 3.25 & 4 & 0.041667 & 0.979167 & 0.083333 \tabularnewline
[3.5,4] & 3.75 & 2 & 0.020833 & 1 & 0.041667 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=14131&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][0.5,1[[/C][C]0.75[/C][C]2[/C][C]0.020833[/C][C]0.020833[/C][C]0.041667[/C][/ROW]
[ROW][C][1,1.5[[/C][C]1.25[/C][C]24[/C][C]0.25[/C][C]0.270833[/C][C]0.5[/C][/ROW]
[ROW][C][1.5,2[[/C][C]1.75[/C][C]18[/C][C]0.1875[/C][C]0.458333[/C][C]0.375[/C][/ROW]
[ROW][C][2,2.5[[/C][C]2.25[/C][C]31[/C][C]0.322917[/C][C]0.78125[/C][C]0.645833[/C][/ROW]
[ROW][C][2.5,3[[/C][C]2.75[/C][C]15[/C][C]0.15625[/C][C]0.9375[/C][C]0.3125[/C][/ROW]
[ROW][C][3,3.5[[/C][C]3.25[/C][C]4[/C][C]0.041667[/C][C]0.979167[/C][C]0.083333[/C][/ROW]
[ROW][C][3.5,4][/C][C]3.75[/C][C]2[/C][C]0.020833[/C][C]1[/C][C]0.041667[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=14131&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=14131&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
[0.5,1[0.7520.0208330.0208330.041667
[1,1.5[1.25240.250.2708330.5
[1.5,2[1.75180.18750.4583330.375
[2,2.5[2.25310.3229170.781250.645833
[2.5,3[2.75150.156250.93750.3125
[3,3.5[3.2540.0416670.9791670.083333
[3.5,4]3.7520.02083310.041667



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.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)
}
dev.off()
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')