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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, 10 Nov 2012 04:19:15 -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/Nov/10/t1352539178cindnwc5uvkyrd4.htm/, Retrieved Sat, 10 Dec 2022 06:16:18 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=187264, Retrieved Sat, 10 Dec 2022 06:16:18 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact96
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [data set] [2008-12-01 19:54:57] [b98453cac15ba1066b407e146608df68]
- RMPD    [Histogram] [Histogram TA Movi...] [2012-11-10 09:19:15] [64435dfec13c3cda39d1733fd4b6eb52] [Current]
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Dataseries X:
NA
NA
NA
NA
NA
NA
-6.14157407407407
2.76675925925926
-2.47476851851854
-24.749212962963
-27.3419907407408
-24.0996296296296
-33.0386574074074
-8.16893518518521
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7.31495370370374
37.2350925925925
-3.20490740740735
51.4375925925926
27.5334259259259
4.37939814814808
30.0091203703704
-13.662824074074
-0.0871296296296009
28.6988425925926
45.4268981481482
31.4987037037038
19.1482870370371
12.1559259259259
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23.2045370370371
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22.5502314814815
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2.15870370370371
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NA
NA
NA
NA
NA
NA




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=187264&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=187264&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=187264&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'Gertrude Mary Cox' @ cox.wessa.net







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[-80,-60[-7010.0026880.0026880.000139
[-60,-40[-50100.0268820.029570.001389
[-40,-20[-30630.1693550.1989250.00875
[-20,0[-101050.2822580.4811830.014583
[0,20[101160.3118280.7930110.016111
[20,40[30490.131720.9247310.006806
[40,60[50100.0268820.9516130.001389
[60,80[7050.0134410.9650540.000694
[80,100]9010.0026880.9677420.000139

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[-80,-60[ & -70 & 1 & 0.002688 & 0.002688 & 0.000139 \tabularnewline
[-60,-40[ & -50 & 10 & 0.026882 & 0.02957 & 0.001389 \tabularnewline
[-40,-20[ & -30 & 63 & 0.169355 & 0.198925 & 0.00875 \tabularnewline
[-20,0[ & -10 & 105 & 0.282258 & 0.481183 & 0.014583 \tabularnewline
[0,20[ & 10 & 116 & 0.311828 & 0.793011 & 0.016111 \tabularnewline
[20,40[ & 30 & 49 & 0.13172 & 0.924731 & 0.006806 \tabularnewline
[40,60[ & 50 & 10 & 0.026882 & 0.951613 & 0.001389 \tabularnewline
[60,80[ & 70 & 5 & 0.013441 & 0.965054 & 0.000694 \tabularnewline
[80,100] & 90 & 1 & 0.002688 & 0.967742 & 0.000139 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=187264&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][-80,-60[[/C][C]-70[/C][C]1[/C][C]0.002688[/C][C]0.002688[/C][C]0.000139[/C][/ROW]
[ROW][C][-60,-40[[/C][C]-50[/C][C]10[/C][C]0.026882[/C][C]0.02957[/C][C]0.001389[/C][/ROW]
[ROW][C][-40,-20[[/C][C]-30[/C][C]63[/C][C]0.169355[/C][C]0.198925[/C][C]0.00875[/C][/ROW]
[ROW][C][-20,0[[/C][C]-10[/C][C]105[/C][C]0.282258[/C][C]0.481183[/C][C]0.014583[/C][/ROW]
[ROW][C][0,20[[/C][C]10[/C][C]116[/C][C]0.311828[/C][C]0.793011[/C][C]0.016111[/C][/ROW]
[ROW][C][20,40[[/C][C]30[/C][C]49[/C][C]0.13172[/C][C]0.924731[/C][C]0.006806[/C][/ROW]
[ROW][C][40,60[[/C][C]50[/C][C]10[/C][C]0.026882[/C][C]0.951613[/C][C]0.001389[/C][/ROW]
[ROW][C][60,80[[/C][C]70[/C][C]5[/C][C]0.013441[/C][C]0.965054[/C][C]0.000694[/C][/ROW]
[ROW][C][80,100][/C][C]90[/C][C]1[/C][C]0.002688[/C][C]0.967742[/C][C]0.000139[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=187264&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=187264&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
[-80,-60[-7010.0026880.0026880.000139
[-60,-40[-50100.0268820.029570.001389
[-40,-20[-30630.1693550.1989250.00875
[-20,0[-101050.2822580.4811830.014583
[0,20[101160.3118280.7930110.016111
[20,40[30490.131720.9247310.006806
[40,60[50100.0268820.9516130.001389
[60,80[7050.0134410.9650540.000694
[80,100]9010.0026880.9677420.000139



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')
}