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Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationThu, 26 Sep 2013 08:26:57 -0400
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/Sep/26/t13801988996ufrplix8apcvze.htm/, Retrieved Thu, 31 Oct 2024 23:11:23 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=212087, Retrieved Thu, 31 Oct 2024 23:11:23 +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)
-     [Univariate Data Series] [] [2013-09-19 16:06:14] [413de16eab6de5411c2042891543cdd5]
- RMPD    [Histogram] [] [2013-09-26 12:26:57] [61815129b11f2c077c0a1fac498766b9] [Current]
- RMP       [Kernel Density Estimation] [] [2013-09-26 12:39:32] [413de16eab6de5411c2042891543cdd5]
-   P       [Histogram] [] [2013-10-07 13:03:40] [74be16979710d4c4e7c6647856088456]
- R P       [Histogram] [] [2013-10-07 13:06:37] [74be16979710d4c4e7c6647856088456]
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Dataseries X:
9.27
9.30
9.35
9.33
9.37
9.42
9.45
9.38
9.40
9.43
9.45
9.49
9.47
9.48
9.52
9.53
9.53
9.54
9.57
9.61
9.61
9.63
9.64
9.60
9.64
9.66
9.67
9.70
9.72
9.73
9.77
9.72
9.68
9.62
9.79
9.77
9.79
9.77
9.78
9.81
9.74
9.70
9.78
9.85
9.83
9.90
9.93
9.85
9.95
9.97
10.02
9.97
9.95
9.95
9.98
10.00
10.04
10.05
10.06
10.09
10.14
10.13
10.12
10.10
10.12
10.06
10.21
10.18
10.26
10.39
10.41
10.46




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Sir Maurice George Kendall' @ kendall.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 & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=212087&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 Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=212087&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212087&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 Maurice George Kendall' @ kendall.wessa.net







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[9.2,9.4[9.360.0833330.0833330.416667
[9.4,9.6[9.5130.1805560.2638890.902778
[9.6,9.8[9.7230.3194440.5833331.597222
[9.8,10[9.9120.1666670.750.833333
[10,10.2[10.1130.1805560.9305560.902778
[10.2,10.4[10.330.0416670.9722220.208333
[10.4,10.6]10.520.02777810.138889

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[9.2,9.4[ & 9.3 & 6 & 0.083333 & 0.083333 & 0.416667 \tabularnewline
[9.4,9.6[ & 9.5 & 13 & 0.180556 & 0.263889 & 0.902778 \tabularnewline
[9.6,9.8[ & 9.7 & 23 & 0.319444 & 0.583333 & 1.597222 \tabularnewline
[9.8,10[ & 9.9 & 12 & 0.166667 & 0.75 & 0.833333 \tabularnewline
[10,10.2[ & 10.1 & 13 & 0.180556 & 0.930556 & 0.902778 \tabularnewline
[10.2,10.4[ & 10.3 & 3 & 0.041667 & 0.972222 & 0.208333 \tabularnewline
[10.4,10.6] & 10.5 & 2 & 0.027778 & 1 & 0.138889 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=212087&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][9.2,9.4[[/C][C]9.3[/C][C]6[/C][C]0.083333[/C][C]0.083333[/C][C]0.416667[/C][/ROW]
[ROW][C][9.4,9.6[[/C][C]9.5[/C][C]13[/C][C]0.180556[/C][C]0.263889[/C][C]0.902778[/C][/ROW]
[ROW][C][9.6,9.8[[/C][C]9.7[/C][C]23[/C][C]0.319444[/C][C]0.583333[/C][C]1.597222[/C][/ROW]
[ROW][C][9.8,10[[/C][C]9.9[/C][C]12[/C][C]0.166667[/C][C]0.75[/C][C]0.833333[/C][/ROW]
[ROW][C][10,10.2[[/C][C]10.1[/C][C]13[/C][C]0.180556[/C][C]0.930556[/C][C]0.902778[/C][/ROW]
[ROW][C][10.2,10.4[[/C][C]10.3[/C][C]3[/C][C]0.041667[/C][C]0.972222[/C][C]0.208333[/C][/ROW]
[ROW][C][10.4,10.6][/C][C]10.5[/C][C]2[/C][C]0.027778[/C][C]1[/C][C]0.138889[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=212087&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212087&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
[9.2,9.4[9.360.0833330.0833330.416667
[9.4,9.6[9.5130.1805560.2638890.902778
[9.6,9.8[9.7230.3194440.5833331.597222
[9.8,10[9.9120.1666670.750.833333
[10,10.2[10.1130.1805560.9305560.902778
[10.2,10.4[10.330.0416670.9722220.208333
[10.4,10.6]10.520.02777810.138889



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')
}