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Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationTue, 12 Feb 2013 10:03:55 -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/2013/Feb/12/t1360681465sogt406gcq8v90z.htm/, Retrieved Mon, 29 Apr 2024 06:39:03 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=206369, Retrieved Mon, 29 Apr 2024 06:39:03 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact77
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [freqtabel werkelo...] [2013-02-12 15:03:55] [9bda411d6223d16f0472c7feaae49b5f] [Current]
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Dataseries X:
6,3
6,2
6,2
6,3
6,5
6,5
6,2
6,2
6,2
6,1
6,1
6,2
6,1
6,1
6,2
6,2
6,4
6,2
5,7
5,7
5,7
5,9
6
6,3
6,4
6,5
6,8
7
7,3
7,4
6,9
6,9
7
7,1
7,2
7,1
6,8
6,5
6,4
6,5
6,7
6,6
6,2
6,2
6,5
6,8
6,8
6,5
5,9
5,5
5,6
6
6,3
6,2
5,6
5,4
5,7
5,9
6,2
6,3
6,1
5,9
5,9
5,7
5,9
6,1
6,1
6,5
6,8
6,8
6,9
6,9
6,8
6,6
6,5
6,5




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' @ fisher.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 & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=206369&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' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=206369&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=206369&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' @ fisher.wessa.net







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[5.4,5.6[5.520.0263160.0263160.131579
[5.6,5.8[5.770.0921050.1184210.460526
[5.8,6[5.960.0789470.1973680.394737
[6,6.2[6.190.1184210.3157890.592105
[6.2,6.4[6.3180.2368420.5526321.184211
[6.4,6.6[6.5130.1710530.7236840.855263
[6.6,6.8[6.730.0394740.7631580.197368
[6.8,7[6.9110.1447370.9078950.723684
[7,7.2[7.140.0526320.9605260.263158
[7.2,7.4]7.330.03947410.197368

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[5.4,5.6[ & 5.5 & 2 & 0.026316 & 0.026316 & 0.131579 \tabularnewline
[5.6,5.8[ & 5.7 & 7 & 0.092105 & 0.118421 & 0.460526 \tabularnewline
[5.8,6[ & 5.9 & 6 & 0.078947 & 0.197368 & 0.394737 \tabularnewline
[6,6.2[ & 6.1 & 9 & 0.118421 & 0.315789 & 0.592105 \tabularnewline
[6.2,6.4[ & 6.3 & 18 & 0.236842 & 0.552632 & 1.184211 \tabularnewline
[6.4,6.6[ & 6.5 & 13 & 0.171053 & 0.723684 & 0.855263 \tabularnewline
[6.6,6.8[ & 6.7 & 3 & 0.039474 & 0.763158 & 0.197368 \tabularnewline
[6.8,7[ & 6.9 & 11 & 0.144737 & 0.907895 & 0.723684 \tabularnewline
[7,7.2[ & 7.1 & 4 & 0.052632 & 0.960526 & 0.263158 \tabularnewline
[7.2,7.4] & 7.3 & 3 & 0.039474 & 1 & 0.197368 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=206369&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][5.4,5.6[[/C][C]5.5[/C][C]2[/C][C]0.026316[/C][C]0.026316[/C][C]0.131579[/C][/ROW]
[ROW][C][5.6,5.8[[/C][C]5.7[/C][C]7[/C][C]0.092105[/C][C]0.118421[/C][C]0.460526[/C][/ROW]
[ROW][C][5.8,6[[/C][C]5.9[/C][C]6[/C][C]0.078947[/C][C]0.197368[/C][C]0.394737[/C][/ROW]
[ROW][C][6,6.2[[/C][C]6.1[/C][C]9[/C][C]0.118421[/C][C]0.315789[/C][C]0.592105[/C][/ROW]
[ROW][C][6.2,6.4[[/C][C]6.3[/C][C]18[/C][C]0.236842[/C][C]0.552632[/C][C]1.184211[/C][/ROW]
[ROW][C][6.4,6.6[[/C][C]6.5[/C][C]13[/C][C]0.171053[/C][C]0.723684[/C][C]0.855263[/C][/ROW]
[ROW][C][6.6,6.8[[/C][C]6.7[/C][C]3[/C][C]0.039474[/C][C]0.763158[/C][C]0.197368[/C][/ROW]
[ROW][C][6.8,7[[/C][C]6.9[/C][C]11[/C][C]0.144737[/C][C]0.907895[/C][C]0.723684[/C][/ROW]
[ROW][C][7,7.2[[/C][C]7.1[/C][C]4[/C][C]0.052632[/C][C]0.960526[/C][C]0.263158[/C][/ROW]
[ROW][C][7.2,7.4][/C][C]7.3[/C][C]3[/C][C]0.039474[/C][C]1[/C][C]0.197368[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=206369&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=206369&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
[5.4,5.6[5.520.0263160.0263160.131579
[5.6,5.8[5.770.0921050.1184210.460526
[5.8,6[5.960.0789470.1973680.394737
[6,6.2[6.190.1184210.3157890.592105
[6.2,6.4[6.3180.2368420.5526321.184211
[6.4,6.6[6.5130.1710530.7236840.855263
[6.6,6.8[6.730.0394740.7631580.197368
[6.8,7[6.9110.1447370.9078950.723684
[7,7.2[7.140.0526320.9605260.263158
[7.2,7.4]7.330.03947410.197368



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')
}