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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationTue, 25 Sep 2012 15:33:18 -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/2012/Sep/25/t1348601623c8jsk8bsy676m5i.htm/, Retrieved Thu, 02 May 2024 10:29:19 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=169980, Retrieved Thu, 02 May 2024 10:29:19 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact146

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Maximum prijs in ...] [2012-09-25 19:33:18] [d04b85262060aaf5e7973d5e79a5225e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
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Tables (Output of Computation)





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=169980&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=169980&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=169980&T=0

As an alternative you can also use a QR Code:  
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
[5,10[7.550.006410.006410.001282
[10,15[12.5360.0461540.0525640.009231
[15,20[17.5990.1269230.1794870.025385
[20,25[22.52570.3294870.5089740.065897
[25,30[27.52660.3410260.850.068205
[30,35[32.5660.0846150.9346150.016923
[35,40[37.5160.0205130.9551280.004103
[40,45[42.5190.0243590.9794870.004872
[45,50[47.5000.9794870
[50,55[52.5150.0192310.9987180.003846
[55,60[57.5000.9987180
[60,65]62.510.00128210.000256

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[5,10[ & 7.5 & 5 & 0.00641 & 0.00641 & 0.001282 \tabularnewline
[10,15[ & 12.5 & 36 & 0.046154 & 0.052564 & 0.009231 \tabularnewline
[15,20[ & 17.5 & 99 & 0.126923 & 0.179487 & 0.025385 \tabularnewline
[20,25[ & 22.5 & 257 & 0.329487 & 0.508974 & 0.065897 \tabularnewline
[25,30[ & 27.5 & 266 & 0.341026 & 0.85 & 0.068205 \tabularnewline
[30,35[ & 32.5 & 66 & 0.084615 & 0.934615 & 0.016923 \tabularnewline
[35,40[ & 37.5 & 16 & 0.020513 & 0.955128 & 0.004103 \tabularnewline
[40,45[ & 42.5 & 19 & 0.024359 & 0.979487 & 0.004872 \tabularnewline
[45,50[ & 47.5 & 0 & 0 & 0.979487 & 0 \tabularnewline
[50,55[ & 52.5 & 15 & 0.019231 & 0.998718 & 0.003846 \tabularnewline
[55,60[ & 57.5 & 0 & 0 & 0.998718 & 0 \tabularnewline
[60,65] & 62.5 & 1 & 0.001282 & 1 & 0.000256 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=169980&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][5,10[[/C][C]7.5[/C][C]5[/C][C]0.00641[/C][C]0.00641[/C][C]0.001282[/C][/ROW]
[ROW][C][10,15[[/C][C]12.5[/C][C]36[/C][C]0.046154[/C][C]0.052564[/C][C]0.009231[/C][/ROW]
[ROW][C][15,20[[/C][C]17.5[/C][C]99[/C][C]0.126923[/C][C]0.179487[/C][C]0.025385[/C][/ROW]
[ROW][C][20,25[[/C][C]22.5[/C][C]257[/C][C]0.329487[/C][C]0.508974[/C][C]0.065897[/C][/ROW]
[ROW][C][25,30[[/C][C]27.5[/C][C]266[/C][C]0.341026[/C][C]0.85[/C][C]0.068205[/C][/ROW]
[ROW][C][30,35[[/C][C]32.5[/C][C]66[/C][C]0.084615[/C][C]0.934615[/C][C]0.016923[/C][/ROW]
[ROW][C][35,40[[/C][C]37.5[/C][C]16[/C][C]0.020513[/C][C]0.955128[/C][C]0.004103[/C][/ROW]
[ROW][C][40,45[[/C][C]42.5[/C][C]19[/C][C]0.024359[/C][C]0.979487[/C][C]0.004872[/C][/ROW]
[ROW][C][45,50[[/C][C]47.5[/C][C]0[/C][C]0[/C][C]0.979487[/C][C]0[/C][/ROW]
[ROW][C][50,55[[/C][C]52.5[/C][C]15[/C][C]0.019231[/C][C]0.998718[/C][C]0.003846[/C][/ROW]
[ROW][C][55,60[[/C][C]57.5[/C][C]0[/C][C]0[/C][C]0.998718[/C][C]0[/C][/ROW]
[ROW][C][60,65][/C][C]62.5[/C][C]1[/C][C]0.001282[/C][C]1[/C][C]0.000256[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=169980&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=169980&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[5,10[7.550.006410.006410.001282
[10,15[12.5360.0461540.0525640.009231
[15,20[17.5990.1269230.1794870.025385
[20,25[22.52570.3294870.5089740.065897
[25,30[27.52660.3410260.850.068205
[30,35[32.5660.0846150.9346150.016923
[35,40[37.5160.0205130.9551280.004103
[40,45[42.5190.0243590.9794870.004872
[45,50[47.5000.9794870
[50,55[52.5150.0192310.9987180.003846
[55,60[57.5000.9987180
[60,65]62.510.00128210.000256


Figures (Output of Computation)

Input Parameters & R Code

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')
}