Free Statistics

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Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationMon, 08 Feb 2016 20:46:24 +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/2016/Feb/08/t14549645651pd2i51iltdv2zb.htm/, Retrieved Fri, 03 May 2024 18:49:04 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=291949, Retrieved Fri, 03 May 2024 18:49:04 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact101
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Lise Vermeylen] [2016-02-08 20:46:24] [5a85579dabc3382e8d94dde735019ff5] [Current]
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Dataseries X:
9.5
9.6
9.8
10
10.1
10.2
10.3
10.4
10.5
10.7
10.8
10.9
10.9
10.9
11
11
11
11
10.9
10.9
10.8
10.9
10.9
10.9
10.9
10.8
10.8
10.7
10.7
10.8
10.8
10.9
10.9
11
11
11
11
11
10.9
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
10.9
10.8
10.8
10.8
10.8
10.7
10.7
10.6
10.5
10.6
10.5
10.5
10.4
10.3
10.2
10.2
10.1
10.1
9.9
9.8
9.8
9.7
9.6
9.6
9.5
9.4
9.3
9.2
9.1
9.1
9
8.9
8.8
8.7
8.6
8.6
8.5
8.4
8.4
8.3
8.2
8.1
8.1
8.1
8.1
8




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=291949&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=291949&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=291949&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
[8,8.5[8.2590.090.090.18
[8.5,9[8.7560.060.150.12
[9,9.5[9.2560.060.210.12
[9.5,10[9.75100.10.310.2
[10,10.5[10.25110.110.420.22
[10.5,11]10.75580.5811.16

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[8,8.5[ & 8.25 & 9 & 0.09 & 0.09 & 0.18 \tabularnewline
[8.5,9[ & 8.75 & 6 & 0.06 & 0.15 & 0.12 \tabularnewline
[9,9.5[ & 9.25 & 6 & 0.06 & 0.21 & 0.12 \tabularnewline
[9.5,10[ & 9.75 & 10 & 0.1 & 0.31 & 0.2 \tabularnewline
[10,10.5[ & 10.25 & 11 & 0.11 & 0.42 & 0.22 \tabularnewline
[10.5,11] & 10.75 & 58 & 0.58 & 1 & 1.16 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=291949&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][8,8.5[[/C][C]8.25[/C][C]9[/C][C]0.09[/C][C]0.09[/C][C]0.18[/C][/ROW]
[ROW][C][8.5,9[[/C][C]8.75[/C][C]6[/C][C]0.06[/C][C]0.15[/C][C]0.12[/C][/ROW]
[ROW][C][9,9.5[[/C][C]9.25[/C][C]6[/C][C]0.06[/C][C]0.21[/C][C]0.12[/C][/ROW]
[ROW][C][9.5,10[[/C][C]9.75[/C][C]10[/C][C]0.1[/C][C]0.31[/C][C]0.2[/C][/ROW]
[ROW][C][10,10.5[[/C][C]10.25[/C][C]11[/C][C]0.11[/C][C]0.42[/C][C]0.22[/C][/ROW]
[ROW][C][10.5,11][/C][C]10.75[/C][C]58[/C][C]0.58[/C][C]1[/C][C]1.16[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=291949&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=291949&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
[8,8.5[8.2590.090.090.18
[8.5,9[8.7560.060.150.12
[9,9.5[9.2560.060.210.12
[9.5,10[9.75100.10.310.2
[10,10.5[10.25110.110.420.22
[10.5,11]10.75580.5811.16



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 {
barplot(mytab <- sort(table(x),T),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')
}