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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 Dec 2011 05:32:06 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Dec/17/t1324117951eg85r427isdeaa9.htm/, Retrieved Thu, 28 Mar 2024 11:17:01 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=156186, Retrieved Thu, 28 Mar 2024 11:17:01 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact131
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Histogram] [Bad example of Hi...] [2010-09-25 09:28:23] [b98453cac15ba1066b407e146608df68]
- R     [Histogram] [] [2011-09-27 13:07:18] [f381152ed5e87cd86e751bfc27f55bf8]
- R  D    [Histogram] [Histogram - omzet...] [2011-12-17 10:28:44] [379dab8110dbf77cfcc4b7951c3a599f]
- R P         [Histogram] [Histogram - omzet...] [2011-12-17 10:32:06] [e7912d585babb6fa20e6bf5178c462ce] [Current]
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Dataseries X:
33907
35981
36588
16967
25333
21027
21114
28777
35612
24183
22262
20637
29948
22093
36997
31089
19477
31301
18497
30142
21326
16779
38068
29707
35016
26131
29251
22855
31806
34124




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 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 & 0 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=156186&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]0 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=156186&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=156186&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 time0 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[16000,18000[1700020.0666670.0666673.3e-05
[18000,20000[1900020.0666670.1333333.3e-05
[20000,22000[2100040.1333330.2666676.7e-05
[22000,24000[2300030.10.3666675e-05
[24000,26000[2500020.0666670.4333333.3e-05
[26000,28000[2700010.0333330.4666671.7e-05
[28000,30000[2900040.1333330.66.7e-05
[30000,32000[3100040.1333330.7333336.7e-05
[32000,34000[3300010.0333330.7666671.7e-05
[34000,36000[3500040.1333330.96.7e-05
[36000,38000[3700020.0666670.9666673.3e-05
[38000,40000]3900010.03333311.7e-05

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[16000,18000[ & 17000 & 2 & 0.066667 & 0.066667 & 3.3e-05 \tabularnewline
[18000,20000[ & 19000 & 2 & 0.066667 & 0.133333 & 3.3e-05 \tabularnewline
[20000,22000[ & 21000 & 4 & 0.133333 & 0.266667 & 6.7e-05 \tabularnewline
[22000,24000[ & 23000 & 3 & 0.1 & 0.366667 & 5e-05 \tabularnewline
[24000,26000[ & 25000 & 2 & 0.066667 & 0.433333 & 3.3e-05 \tabularnewline
[26000,28000[ & 27000 & 1 & 0.033333 & 0.466667 & 1.7e-05 \tabularnewline
[28000,30000[ & 29000 & 4 & 0.133333 & 0.6 & 6.7e-05 \tabularnewline
[30000,32000[ & 31000 & 4 & 0.133333 & 0.733333 & 6.7e-05 \tabularnewline
[32000,34000[ & 33000 & 1 & 0.033333 & 0.766667 & 1.7e-05 \tabularnewline
[34000,36000[ & 35000 & 4 & 0.133333 & 0.9 & 6.7e-05 \tabularnewline
[36000,38000[ & 37000 & 2 & 0.066667 & 0.966667 & 3.3e-05 \tabularnewline
[38000,40000] & 39000 & 1 & 0.033333 & 1 & 1.7e-05 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=156186&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][16000,18000[[/C][C]17000[/C][C]2[/C][C]0.066667[/C][C]0.066667[/C][C]3.3e-05[/C][/ROW]
[ROW][C][18000,20000[[/C][C]19000[/C][C]2[/C][C]0.066667[/C][C]0.133333[/C][C]3.3e-05[/C][/ROW]
[ROW][C][20000,22000[[/C][C]21000[/C][C]4[/C][C]0.133333[/C][C]0.266667[/C][C]6.7e-05[/C][/ROW]
[ROW][C][22000,24000[[/C][C]23000[/C][C]3[/C][C]0.1[/C][C]0.366667[/C][C]5e-05[/C][/ROW]
[ROW][C][24000,26000[[/C][C]25000[/C][C]2[/C][C]0.066667[/C][C]0.433333[/C][C]3.3e-05[/C][/ROW]
[ROW][C][26000,28000[[/C][C]27000[/C][C]1[/C][C]0.033333[/C][C]0.466667[/C][C]1.7e-05[/C][/ROW]
[ROW][C][28000,30000[[/C][C]29000[/C][C]4[/C][C]0.133333[/C][C]0.6[/C][C]6.7e-05[/C][/ROW]
[ROW][C][30000,32000[[/C][C]31000[/C][C]4[/C][C]0.133333[/C][C]0.733333[/C][C]6.7e-05[/C][/ROW]
[ROW][C][32000,34000[[/C][C]33000[/C][C]1[/C][C]0.033333[/C][C]0.766667[/C][C]1.7e-05[/C][/ROW]
[ROW][C][34000,36000[[/C][C]35000[/C][C]4[/C][C]0.133333[/C][C]0.9[/C][C]6.7e-05[/C][/ROW]
[ROW][C][36000,38000[[/C][C]37000[/C][C]2[/C][C]0.066667[/C][C]0.966667[/C][C]3.3e-05[/C][/ROW]
[ROW][C][38000,40000][/C][C]39000[/C][C]1[/C][C]0.033333[/C][C]1[/C][C]1.7e-05[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=156186&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=156186&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
[16000,18000[1700020.0666670.0666673.3e-05
[18000,20000[1900020.0666670.1333333.3e-05
[20000,22000[2100040.1333330.2666676.7e-05
[22000,24000[2300030.10.3666675e-05
[24000,26000[2500020.0666670.4333333.3e-05
[26000,28000[2700010.0333330.4666671.7e-05
[28000,30000[2900040.1333330.66.7e-05
[30000,32000[3100040.1333330.7333336.7e-05
[32000,34000[3300010.0333330.7666671.7e-05
[34000,36000[3500040.1333330.96.7e-05
[36000,38000[3700020.0666670.9666673.3e-05
[38000,40000]3900010.03333311.7e-05



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):
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')
}