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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationFri, 21 Dec 2012 14:28:34 -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/Dec/21/t1356118692gzsywzxfinp49ut.htm/, Retrieved Thu, 25 Apr 2024 20:25:54 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=204154, Retrieved Thu, 25 Apr 2024 20:25:54 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact78

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Boxplot and Trimmed Means] [Reddy Moores Boxp...] [2010-10-12 16:37:57] [98fd0e87c3eb04e0cc2efde01dbafab6]
- R P   [Boxplot and Trimmed Means] [Reddy-Moores Plac...] [2010-10-13 09:46:26] [98fd0e87c3eb04e0cc2efde01dbafab6]
- RMPD    [Notched Boxplots] [] [2010-10-15 11:13:23] [b98453cac15ba1066b407e146608df68]
- R  D      [Notched Boxplots] [Notched Boxplots ] [2012-12-11 13:08:43] [46762b18b00d15214a19b2ee3ead9dc9]
- RMPD          [Histogram] [histogram] [2012-12-21 19:28:34] [9f1ef512d1eac2da3e1af89c6a547aff] [Current]
- R               [Histogram] [his] [2012-12-21 19:44:59] [46762b18b00d15214a19b2ee3ead9dc9]
-                   [Histogram] [histogram] [2012-12-21 19:55:34] [46762b18b00d15214a19b2ee3ead9dc9]
- RM D              [Stem-and-leaf Plot] [s a l] [2012-12-21 20:17:36] [46762b18b00d15214a19b2ee3ead9dc9]
- RM D              [Two-Way ANOVA] [anova 2 way] [2012-12-21 22:40:07] [46762b18b00d15214a19b2ee3ead9dc9]
- RM D              [Multiple Regression] [multiple] [2012-12-21 22:50:54] [46762b18b00d15214a19b2ee3ead9dc9]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
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4

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=204154&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=204154&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=204154&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
[4,6[51070.0943560.0943560.047178
[6,8[7340.0299820.1243390.014991
[8,10[9430.0379190.1622570.018959
[10,12[11370.0326280.1948850.016314
[12,14[13530.0467370.2416230.023369
[14,16[15600.052910.2945330.026455
[16,18[17970.0855380.3800710.042769
[18,20[191170.1031750.4832450.051587
[20,22[211680.1481480.6313930.074074
[22,24[231720.1516750.7830690.075838
[24,26[251450.1278660.9109350.063933
[26,28]271010.08906510.044533

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[4,6[ & 5 & 107 & 0.094356 & 0.094356 & 0.047178 \tabularnewline
[6,8[ & 7 & 34 & 0.029982 & 0.124339 & 0.014991 \tabularnewline
[8,10[ & 9 & 43 & 0.037919 & 0.162257 & 0.018959 \tabularnewline
[10,12[ & 11 & 37 & 0.032628 & 0.194885 & 0.016314 \tabularnewline
[12,14[ & 13 & 53 & 0.046737 & 0.241623 & 0.023369 \tabularnewline
[14,16[ & 15 & 60 & 0.05291 & 0.294533 & 0.026455 \tabularnewline
[16,18[ & 17 & 97 & 0.085538 & 0.380071 & 0.042769 \tabularnewline
[18,20[ & 19 & 117 & 0.103175 & 0.483245 & 0.051587 \tabularnewline
[20,22[ & 21 & 168 & 0.148148 & 0.631393 & 0.074074 \tabularnewline
[22,24[ & 23 & 172 & 0.151675 & 0.783069 & 0.075838 \tabularnewline
[24,26[ & 25 & 145 & 0.127866 & 0.910935 & 0.063933 \tabularnewline
[26,28] & 27 & 101 & 0.089065 & 1 & 0.044533 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=204154&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][4,6[[/C][C]5[/C][C]107[/C][C]0.094356[/C][C]0.094356[/C][C]0.047178[/C][/ROW]
[ROW][C][6,8[[/C][C]7[/C][C]34[/C][C]0.029982[/C][C]0.124339[/C][C]0.014991[/C][/ROW]
[ROW][C][8,10[[/C][C]9[/C][C]43[/C][C]0.037919[/C][C]0.162257[/C][C]0.018959[/C][/ROW]
[ROW][C][10,12[[/C][C]11[/C][C]37[/C][C]0.032628[/C][C]0.194885[/C][C]0.016314[/C][/ROW]
[ROW][C][12,14[[/C][C]13[/C][C]53[/C][C]0.046737[/C][C]0.241623[/C][C]0.023369[/C][/ROW]
[ROW][C][14,16[[/C][C]15[/C][C]60[/C][C]0.05291[/C][C]0.294533[/C][C]0.026455[/C][/ROW]
[ROW][C][16,18[[/C][C]17[/C][C]97[/C][C]0.085538[/C][C]0.380071[/C][C]0.042769[/C][/ROW]
[ROW][C][18,20[[/C][C]19[/C][C]117[/C][C]0.103175[/C][C]0.483245[/C][C]0.051587[/C][/ROW]
[ROW][C][20,22[[/C][C]21[/C][C]168[/C][C]0.148148[/C][C]0.631393[/C][C]0.074074[/C][/ROW]
[ROW][C][22,24[[/C][C]23[/C][C]172[/C][C]0.151675[/C][C]0.783069[/C][C]0.075838[/C][/ROW]
[ROW][C][24,26[[/C][C]25[/C][C]145[/C][C]0.127866[/C][C]0.910935[/C][C]0.063933[/C][/ROW]
[ROW][C][26,28][/C][C]27[/C][C]101[/C][C]0.089065[/C][C]1[/C][C]0.044533[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=204154&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=204154&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
[4,6[51070.0943560.0943560.047178
[6,8[7340.0299820.1243390.014991
[8,10[9430.0379190.1622570.018959
[10,12[11370.0326280.1948850.016314
[12,14[13530.0467370.2416230.023369
[14,16[15600.052910.2945330.026455
[16,18[17970.0855380.3800710.042769
[18,20[191170.1031750.4832450.051587
[20,22[211680.1481480.6313930.074074
[22,24[231720.1516750.7830690.075838
[24,26[251450.1278660.9109350.063933
[26,28]271010.08906510.044533


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 162 ; 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')
}