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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationSat, 17 Oct 2009 06:28:35 -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/2009/Oct/17/t1255782685ujy8bsmy2edrsl3.htm/, Retrieved Mon, 06 May 2024 01:09:25 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=47145, Retrieved Mon, 06 May 2024 01:09:25 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact143
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [WS 3 deel 2] [2009-10-17 12:01:58] [023d83ebdf42a2acf423907b4076e8a1]
- RMPD    [Histogram] [WS 3 histo] [2009-10-17 12:28:35] [9f6463b67b1eb7bae5c03a796abf0348] [Current]
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Dataseries X:
5560
3922
3759
4138
4634
3996
4308
4143
4429
5219
4929
5755
5592
4163
4962
5208
4755
4491
5732
5731
5040
6102
4904
5369
5578
4619
4731
5011
5299
4146
4625
4736
4219
5116
4205
4121
5103
4300
4578
3809
5526
4247
3830
4394
4826
4409
4569
4106
4794
3914
3793
4405
4022
4100
4788
3163
3585
3903
4178
3863




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=47145&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=47145&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=47145&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'Gwilym Jenkins' @ 72.249.127.135







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[3000,3500[325010.0166670.0166673.3e-05
[3500,4000[3750100.1666670.1833330.000333
[4000,4500[4250190.3166670.50.000633
[4500,5000[4750140.2333330.7333330.000467
[5000,5500[525080.1333330.8666670.000267
[5500,6000[575070.1166670.9833330.000233
[6000,6500]625010.01666713.3e-05

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[3000,3500[ & 3250 & 1 & 0.016667 & 0.016667 & 3.3e-05 \tabularnewline
[3500,4000[ & 3750 & 10 & 0.166667 & 0.183333 & 0.000333 \tabularnewline
[4000,4500[ & 4250 & 19 & 0.316667 & 0.5 & 0.000633 \tabularnewline
[4500,5000[ & 4750 & 14 & 0.233333 & 0.733333 & 0.000467 \tabularnewline
[5000,5500[ & 5250 & 8 & 0.133333 & 0.866667 & 0.000267 \tabularnewline
[5500,6000[ & 5750 & 7 & 0.116667 & 0.983333 & 0.000233 \tabularnewline
[6000,6500] & 6250 & 1 & 0.016667 & 1 & 3.3e-05 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=47145&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][3000,3500[[/C][C]3250[/C][C]1[/C][C]0.016667[/C][C]0.016667[/C][C]3.3e-05[/C][/ROW]
[ROW][C][3500,4000[[/C][C]3750[/C][C]10[/C][C]0.166667[/C][C]0.183333[/C][C]0.000333[/C][/ROW]
[ROW][C][4000,4500[[/C][C]4250[/C][C]19[/C][C]0.316667[/C][C]0.5[/C][C]0.000633[/C][/ROW]
[ROW][C][4500,5000[[/C][C]4750[/C][C]14[/C][C]0.233333[/C][C]0.733333[/C][C]0.000467[/C][/ROW]
[ROW][C][5000,5500[[/C][C]5250[/C][C]8[/C][C]0.133333[/C][C]0.866667[/C][C]0.000267[/C][/ROW]
[ROW][C][5500,6000[[/C][C]5750[/C][C]7[/C][C]0.116667[/C][C]0.983333[/C][C]0.000233[/C][/ROW]
[ROW][C][6000,6500][/C][C]6250[/C][C]1[/C][C]0.016667[/C][C]1[/C][C]3.3e-05[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=47145&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=47145&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
[3000,3500[325010.0166670.0166673.3e-05
[3500,4000[3750100.1666670.1833330.000333
[4000,4500[4250190.3166670.50.000633
[4500,5000[4750140.2333330.7333330.000467
[5000,5500[525080.1333330.8666670.000267
[5500,6000[575070.1166670.9833330.000233
[6000,6500]625010.01666713.3e-05



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')