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Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationTue, 12 Oct 2010 13:15:48 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Oct/12/t1286889300cytkuuui7nvds9f.htm/, Retrieved Tue, 30 Apr 2024 09:00:23 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=82913, Retrieved Tue, 30 Apr 2024 09:00:23 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W1
Estimated Impact93
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Het aantal werklo...] [2010-10-12 13:15:48] [6b57770a9d87785617c80b642e34c9c4] [Current]
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Dataseries X:
591000
589000
584000
573000
567000
569000
621000
629000
628000
612000
595000
597000
593000
590000
580000
574000
573000
573000
620000
626000
620000
588000
566000
557000
561000
549000
532000
526000
511000
499000
555000
565000
542000
527000
510000
514000
517000
508000
493000
490000
469000
478000
528000
534000
518000
506000
502000
516000
528000
533000
536000
537000
524000
536000
587000
597000
581000
564000
558000
575000




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=82913&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=82913&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=82913&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[460000,480000[47000020.0333330.0333332e-06
[480000,5e+05[49000030.050.0833332e-06
[5e+05,520000[51000090.150.2333338e-06
[520000,540000[530000110.1833330.4166679e-06
[540000,560000[55000050.0833330.54e-06
[560000,580000[570000110.1833330.6833339e-06
[580000,6e+05[590000120.20.8833331e-05
[6e+05,620000[61000010.0166670.91e-06
[620000,640000]63000060.115e-06

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[460000,480000[ & 470000 & 2 & 0.033333 & 0.033333 & 2e-06 \tabularnewline
[480000,5e+05[ & 490000 & 3 & 0.05 & 0.083333 & 2e-06 \tabularnewline
[5e+05,520000[ & 510000 & 9 & 0.15 & 0.233333 & 8e-06 \tabularnewline
[520000,540000[ & 530000 & 11 & 0.183333 & 0.416667 & 9e-06 \tabularnewline
[540000,560000[ & 550000 & 5 & 0.083333 & 0.5 & 4e-06 \tabularnewline
[560000,580000[ & 570000 & 11 & 0.183333 & 0.683333 & 9e-06 \tabularnewline
[580000,6e+05[ & 590000 & 12 & 0.2 & 0.883333 & 1e-05 \tabularnewline
[6e+05,620000[ & 610000 & 1 & 0.016667 & 0.9 & 1e-06 \tabularnewline
[620000,640000] & 630000 & 6 & 0.1 & 1 & 5e-06 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=82913&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][460000,480000[[/C][C]470000[/C][C]2[/C][C]0.033333[/C][C]0.033333[/C][C]2e-06[/C][/ROW]
[ROW][C][480000,5e+05[[/C][C]490000[/C][C]3[/C][C]0.05[/C][C]0.083333[/C][C]2e-06[/C][/ROW]
[ROW][C][5e+05,520000[[/C][C]510000[/C][C]9[/C][C]0.15[/C][C]0.233333[/C][C]8e-06[/C][/ROW]
[ROW][C][520000,540000[[/C][C]530000[/C][C]11[/C][C]0.183333[/C][C]0.416667[/C][C]9e-06[/C][/ROW]
[ROW][C][540000,560000[[/C][C]550000[/C][C]5[/C][C]0.083333[/C][C]0.5[/C][C]4e-06[/C][/ROW]
[ROW][C][560000,580000[[/C][C]570000[/C][C]11[/C][C]0.183333[/C][C]0.683333[/C][C]9e-06[/C][/ROW]
[ROW][C][580000,6e+05[[/C][C]590000[/C][C]12[/C][C]0.2[/C][C]0.883333[/C][C]1e-05[/C][/ROW]
[ROW][C][6e+05,620000[[/C][C]610000[/C][C]1[/C][C]0.016667[/C][C]0.9[/C][C]1e-06[/C][/ROW]
[ROW][C][620000,640000][/C][C]630000[/C][C]6[/C][C]0.1[/C][C]1[/C][C]5e-06[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=82913&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=82913&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
[460000,480000[47000020.0333330.0333332e-06
[480000,5e+05[49000030.050.0833332e-06
[5e+05,520000[51000090.150.2333338e-06
[520000,540000[530000110.1833330.4166679e-06
[540000,560000[55000050.0833330.54e-06
[560000,580000[570000110.1833330.6833339e-06
[580000,6e+05[590000120.20.8833331e-05
[6e+05,620000[61000010.0166670.91e-06
[620000,640000]63000060.115e-06



Parameters (Session):
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')
}