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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 computationFri, 05 Oct 2012 09:11:44 -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/Oct/05/t13494427507dqyl6j773et81p.htm/, Retrieved Fri, 03 May 2024 01:43:23 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=172297, Retrieved Fri, 03 May 2024 01:43:23 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact139

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Histogram] [frequentietabel é...] [2012-10-03 13:03:51] [863c7e293af37539f527e2425193e5f5]
- R  D  [Histogram] [histogram prijs é...] [2012-10-05 13:00:55] [863c7e293af37539f527e2425193e5f5]
-   P     [Histogram] [histogram prijs é...] [2012-10-05 13:06:27] [863c7e293af37539f527e2425193e5f5]
-             [Histogram] [histogram prijs é...] [2012-10-05 13:11:44] [72b460291cf9216c25149e3abf0bc35d] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0.98
0.99
0.99
0.99
1
1
1
1
1
1.01
1.02
1.02
1.01
1.03
1.03
1.03
1.03
1.03
1.03
1.03
1.04
1.06
1.07
1.08
1.08
1.09
1.09
1.09
1.1
1.1
1.1
1.1
1.1
1.11
1.12
1.13
1.13
1.13
1.13
1.13
1.14
1.14
1.14
1.14
1.14
1.14
1.15
1.15
1.15
1.15
1.15
1.15
1.16
1.15
1.16
1.16
1.16
1.17
1.17
1.17
1.18
1.19
1.2
1.21
1.21
1.21
1.21
1.22
1.22
1.22
1.23
1.22

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'Herman Ole Andreas Wold' @ wold.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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=172297&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=172297&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=172297&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'Herman Ole Andreas Wold' @ wold.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[0.98,0.99[0.98510.0138890.0138891.388889
[0.99,1[0.99530.0416670.0555564.166667
[1,1.01[1.00550.0694440.1256.944444
[1.01,1.02[1.01520.0277780.1527782.777778
[1.02,1.03[1.02520.0277780.1805562.777778
[1.03,1.04[1.03570.0972220.2777789.722222
[1.04,1.05[1.04510.0138890.2916671.388889
[1.05,1.06[1.055000.2916670
[1.06,1.07[1.06510.0138890.3055561.388889
[1.07,1.08[1.07510.0138890.3194441.388889
[1.08,1.09[1.08520.0277780.3472222.777778
[1.09,1.1[1.09530.0416670.3888894.166667
[1.1,1.11[1.10550.0694440.4583336.944444
[1.11,1.12[1.11510.0138890.4722221.388889
[1.12,1.13[1.12510.0138890.4861111.388889
[1.13,1.14[1.13550.0694440.5555566.944444
[1.14,1.15[1.14560.0833330.6388898.333333
[1.15,1.16[1.15570.0972220.7361119.722222
[1.16,1.17[1.16540.0555560.7916675.555556
[1.17,1.18[1.17530.0416670.8333334.166667
[1.18,1.19[1.18510.0138890.8472221.388889
[1.19,1.2[1.19510.0138890.8611111.388889
[1.2,1.21[1.20510.0138890.8751.388889
[1.21,1.22[1.21540.0555560.9305565.555556
[1.22,1.23]1.22550.06944416.944444

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0.98,0.99[ & 0.985 & 1 & 0.013889 & 0.013889 & 1.388889 \tabularnewline
[0.99,1[ & 0.995 & 3 & 0.041667 & 0.055556 & 4.166667 \tabularnewline
[1,1.01[ & 1.005 & 5 & 0.069444 & 0.125 & 6.944444 \tabularnewline
[1.01,1.02[ & 1.015 & 2 & 0.027778 & 0.152778 & 2.777778 \tabularnewline
[1.02,1.03[ & 1.025 & 2 & 0.027778 & 0.180556 & 2.777778 \tabularnewline
[1.03,1.04[ & 1.035 & 7 & 0.097222 & 0.277778 & 9.722222 \tabularnewline
[1.04,1.05[ & 1.045 & 1 & 0.013889 & 0.291667 & 1.388889 \tabularnewline
[1.05,1.06[ & 1.055 & 0 & 0 & 0.291667 & 0 \tabularnewline
[1.06,1.07[ & 1.065 & 1 & 0.013889 & 0.305556 & 1.388889 \tabularnewline
[1.07,1.08[ & 1.075 & 1 & 0.013889 & 0.319444 & 1.388889 \tabularnewline
[1.08,1.09[ & 1.085 & 2 & 0.027778 & 0.347222 & 2.777778 \tabularnewline
[1.09,1.1[ & 1.095 & 3 & 0.041667 & 0.388889 & 4.166667 \tabularnewline
[1.1,1.11[ & 1.105 & 5 & 0.069444 & 0.458333 & 6.944444 \tabularnewline
[1.11,1.12[ & 1.115 & 1 & 0.013889 & 0.472222 & 1.388889 \tabularnewline
[1.12,1.13[ & 1.125 & 1 & 0.013889 & 0.486111 & 1.388889 \tabularnewline
[1.13,1.14[ & 1.135 & 5 & 0.069444 & 0.555556 & 6.944444 \tabularnewline
[1.14,1.15[ & 1.145 & 6 & 0.083333 & 0.638889 & 8.333333 \tabularnewline
[1.15,1.16[ & 1.155 & 7 & 0.097222 & 0.736111 & 9.722222 \tabularnewline
[1.16,1.17[ & 1.165 & 4 & 0.055556 & 0.791667 & 5.555556 \tabularnewline
[1.17,1.18[ & 1.175 & 3 & 0.041667 & 0.833333 & 4.166667 \tabularnewline
[1.18,1.19[ & 1.185 & 1 & 0.013889 & 0.847222 & 1.388889 \tabularnewline
[1.19,1.2[ & 1.195 & 1 & 0.013889 & 0.861111 & 1.388889 \tabularnewline
[1.2,1.21[ & 1.205 & 1 & 0.013889 & 0.875 & 1.388889 \tabularnewline
[1.21,1.22[ & 1.215 & 4 & 0.055556 & 0.930556 & 5.555556 \tabularnewline
[1.22,1.23] & 1.225 & 5 & 0.069444 & 1 & 6.944444 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=172297&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][0.98,0.99[[/C][C]0.985[/C][C]1[/C][C]0.013889[/C][C]0.013889[/C][C]1.388889[/C][/ROW]
[ROW][C][0.99,1[[/C][C]0.995[/C][C]3[/C][C]0.041667[/C][C]0.055556[/C][C]4.166667[/C][/ROW]
[ROW][C][1,1.01[[/C][C]1.005[/C][C]5[/C][C]0.069444[/C][C]0.125[/C][C]6.944444[/C][/ROW]
[ROW][C][1.01,1.02[[/C][C]1.015[/C][C]2[/C][C]0.027778[/C][C]0.152778[/C][C]2.777778[/C][/ROW]
[ROW][C][1.02,1.03[[/C][C]1.025[/C][C]2[/C][C]0.027778[/C][C]0.180556[/C][C]2.777778[/C][/ROW]
[ROW][C][1.03,1.04[[/C][C]1.035[/C][C]7[/C][C]0.097222[/C][C]0.277778[/C][C]9.722222[/C][/ROW]
[ROW][C][1.04,1.05[[/C][C]1.045[/C][C]1[/C][C]0.013889[/C][C]0.291667[/C][C]1.388889[/C][/ROW]
[ROW][C][1.05,1.06[[/C][C]1.055[/C][C]0[/C][C]0[/C][C]0.291667[/C][C]0[/C][/ROW]
[ROW][C][1.06,1.07[[/C][C]1.065[/C][C]1[/C][C]0.013889[/C][C]0.305556[/C][C]1.388889[/C][/ROW]
[ROW][C][1.07,1.08[[/C][C]1.075[/C][C]1[/C][C]0.013889[/C][C]0.319444[/C][C]1.388889[/C][/ROW]
[ROW][C][1.08,1.09[[/C][C]1.085[/C][C]2[/C][C]0.027778[/C][C]0.347222[/C][C]2.777778[/C][/ROW]
[ROW][C][1.09,1.1[[/C][C]1.095[/C][C]3[/C][C]0.041667[/C][C]0.388889[/C][C]4.166667[/C][/ROW]
[ROW][C][1.1,1.11[[/C][C]1.105[/C][C]5[/C][C]0.069444[/C][C]0.458333[/C][C]6.944444[/C][/ROW]
[ROW][C][1.11,1.12[[/C][C]1.115[/C][C]1[/C][C]0.013889[/C][C]0.472222[/C][C]1.388889[/C][/ROW]
[ROW][C][1.12,1.13[[/C][C]1.125[/C][C]1[/C][C]0.013889[/C][C]0.486111[/C][C]1.388889[/C][/ROW]
[ROW][C][1.13,1.14[[/C][C]1.135[/C][C]5[/C][C]0.069444[/C][C]0.555556[/C][C]6.944444[/C][/ROW]
[ROW][C][1.14,1.15[[/C][C]1.145[/C][C]6[/C][C]0.083333[/C][C]0.638889[/C][C]8.333333[/C][/ROW]
[ROW][C][1.15,1.16[[/C][C]1.155[/C][C]7[/C][C]0.097222[/C][C]0.736111[/C][C]9.722222[/C][/ROW]
[ROW][C][1.16,1.17[[/C][C]1.165[/C][C]4[/C][C]0.055556[/C][C]0.791667[/C][C]5.555556[/C][/ROW]
[ROW][C][1.17,1.18[[/C][C]1.175[/C][C]3[/C][C]0.041667[/C][C]0.833333[/C][C]4.166667[/C][/ROW]
[ROW][C][1.18,1.19[[/C][C]1.185[/C][C]1[/C][C]0.013889[/C][C]0.847222[/C][C]1.388889[/C][/ROW]
[ROW][C][1.19,1.2[[/C][C]1.195[/C][C]1[/C][C]0.013889[/C][C]0.861111[/C][C]1.388889[/C][/ROW]
[ROW][C][1.2,1.21[[/C][C]1.205[/C][C]1[/C][C]0.013889[/C][C]0.875[/C][C]1.388889[/C][/ROW]
[ROW][C][1.21,1.22[[/C][C]1.215[/C][C]4[/C][C]0.055556[/C][C]0.930556[/C][C]5.555556[/C][/ROW]
[ROW][C][1.22,1.23][/C][C]1.225[/C][C]5[/C][C]0.069444[/C][C]1[/C][C]6.944444[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=172297&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=172297&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
[0.98,0.99[0.98510.0138890.0138891.388889
[0.99,1[0.99530.0416670.0555564.166667
[1,1.01[1.00550.0694440.1256.944444
[1.01,1.02[1.01520.0277780.1527782.777778
[1.02,1.03[1.02520.0277780.1805562.777778
[1.03,1.04[1.03570.0972220.2777789.722222
[1.04,1.05[1.04510.0138890.2916671.388889
[1.05,1.06[1.055000.2916670
[1.06,1.07[1.06510.0138890.3055561.388889
[1.07,1.08[1.07510.0138890.3194441.388889
[1.08,1.09[1.08520.0277780.3472222.777778
[1.09,1.1[1.09530.0416670.3888894.166667
[1.1,1.11[1.10550.0694440.4583336.944444
[1.11,1.12[1.11510.0138890.4722221.388889
[1.12,1.13[1.12510.0138890.4861111.388889
[1.13,1.14[1.13550.0694440.5555566.944444
[1.14,1.15[1.14560.0833330.6388898.333333
[1.15,1.16[1.15570.0972220.7361119.722222
[1.16,1.17[1.16540.0555560.7916675.555556
[1.17,1.18[1.17530.0416670.8333334.166667
[1.18,1.19[1.18510.0138890.8472221.388889
[1.19,1.2[1.19510.0138890.8611111.388889
[1.2,1.21[1.20510.0138890.8751.388889
[1.21,1.22[1.21540.0555560.9305565.555556
[1.22,1.23]1.22550.06944416.944444


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 5 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = 25 ; 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')
}