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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 computationTue, 18 Dec 2012 08:59:17 -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/2012/Dec/18/t1355839172v1ihj2v4fqvwpwu.htm/, Retrieved Thu, 28 Mar 2024 22:17:09 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=201422, Retrieved Thu, 28 Mar 2024 22:17:09 +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] [histogram paper] [2012-12-18 13:59:17] [239167cccea8953a8e1721fd6db07280] [Current]
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Dataseries X:
24234
6675
2968
44065
16206
6448
13816
3121
33344
7210
4380
20893
19044
7966
34222
20614
3979
14323
11535




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=201422&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=201422&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=201422&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'Gertrude Mary Cox' @ cox.wessa.net







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[0,5000[250040.2105260.2105264.2e-05
[5000,10000[750040.2105260.4210534.2e-05
[10000,15000[1250030.1578950.5789473.2e-05
[15000,20000[1750020.1052630.6842112.1e-05
[20000,25000[2250030.1578950.8421053.2e-05
[25000,30000[27500000.8421050
[30000,35000[3250020.1052630.9473682.1e-05
[35000,40000[37500000.9473680
[40000,45000]4250010.05263211.1e-05

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0,5000[ & 2500 & 4 & 0.210526 & 0.210526 & 4.2e-05 \tabularnewline
[5000,10000[ & 7500 & 4 & 0.210526 & 0.421053 & 4.2e-05 \tabularnewline
[10000,15000[ & 12500 & 3 & 0.157895 & 0.578947 & 3.2e-05 \tabularnewline
[15000,20000[ & 17500 & 2 & 0.105263 & 0.684211 & 2.1e-05 \tabularnewline
[20000,25000[ & 22500 & 3 & 0.157895 & 0.842105 & 3.2e-05 \tabularnewline
[25000,30000[ & 27500 & 0 & 0 & 0.842105 & 0 \tabularnewline
[30000,35000[ & 32500 & 2 & 0.105263 & 0.947368 & 2.1e-05 \tabularnewline
[35000,40000[ & 37500 & 0 & 0 & 0.947368 & 0 \tabularnewline
[40000,45000] & 42500 & 1 & 0.052632 & 1 & 1.1e-05 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=201422&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][0,5000[[/C][C]2500[/C][C]4[/C][C]0.210526[/C][C]0.210526[/C][C]4.2e-05[/C][/ROW]
[ROW][C][5000,10000[[/C][C]7500[/C][C]4[/C][C]0.210526[/C][C]0.421053[/C][C]4.2e-05[/C][/ROW]
[ROW][C][10000,15000[[/C][C]12500[/C][C]3[/C][C]0.157895[/C][C]0.578947[/C][C]3.2e-05[/C][/ROW]
[ROW][C][15000,20000[[/C][C]17500[/C][C]2[/C][C]0.105263[/C][C]0.684211[/C][C]2.1e-05[/C][/ROW]
[ROW][C][20000,25000[[/C][C]22500[/C][C]3[/C][C]0.157895[/C][C]0.842105[/C][C]3.2e-05[/C][/ROW]
[ROW][C][25000,30000[[/C][C]27500[/C][C]0[/C][C]0[/C][C]0.842105[/C][C]0[/C][/ROW]
[ROW][C][30000,35000[[/C][C]32500[/C][C]2[/C][C]0.105263[/C][C]0.947368[/C][C]2.1e-05[/C][/ROW]
[ROW][C][35000,40000[[/C][C]37500[/C][C]0[/C][C]0[/C][C]0.947368[/C][C]0[/C][/ROW]
[ROW][C][40000,45000][/C][C]42500[/C][C]1[/C][C]0.052632[/C][C]1[/C][C]1.1e-05[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=201422&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=201422&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
[0,5000[250040.2105260.2105264.2e-05
[5000,10000[750040.2105260.4210534.2e-05
[10000,15000[1250030.1578950.5789473.2e-05
[15000,20000[1750020.1052630.6842112.1e-05
[20000,25000[2250030.1578950.8421053.2e-05
[25000,30000[27500000.8421050
[30000,35000[3250020.1052630.9473682.1e-05
[35000,40000[37500000.9473680
[40000,45000]4250010.05263211.1e-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.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')
}