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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 computationMon, 15 Dec 2014 12:11:40 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Dec/15/t1418645612vftyr9mri910v1w.htm/, Retrieved Fri, 01 Nov 2024 01:02:20 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=268211, Retrieved Fri, 01 Nov 2024 01:02:20 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact114

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Histogram] [Bad example of Hi...] [2010-09-25 09:28:23] [b98453cac15ba1066b407e146608df68]
- RMPD  [Notched Boxplots] [] [2014-12-14 19:03:30] [bcd8153d44f369b7624d3c1b4621c4c3]
- RMPD    [Histogram] [] [2014-12-15 11:47:31] [bcd8153d44f369b7624d3c1b4621c4c3]
- R         [Histogram] [] [2014-12-15 11:51:14] [bcd8153d44f369b7624d3c1b4621c4c3]
-    D        [Histogram] [] [2014-12-15 12:04:17] [bcd8153d44f369b7624d3c1b4621c4c3]
-    D          [Histogram] [] [2014-12-15 12:06:17] [bcd8153d44f369b7624d3c1b4621c4c3]
-    D              [Histogram] [] [2014-12-15 12:11:40] [6e98989d1e11d52934121e5a163a7817] [Current]
-    D                [Histogram] [] [2014-12-15 12:14:37] [bcd8153d44f369b7624d3c1b4621c4c3]
-    D                  [Histogram] [] [2014-12-15 12:17:19] [bcd8153d44f369b7624d3c1b4621c4c3]
-    D                    [Histogram] [] [2014-12-15 12:20:32] [bcd8153d44f369b7624d3c1b4621c4c3]
-    D                      [Histogram] [] [2014-12-15 12:23:31] [bcd8153d44f369b7624d3c1b4621c4c3]
-    D                        [Histogram] [] [2014-12-15 12:24:32] [bcd8153d44f369b7624d3c1b4621c4c3]
-    D                          [Histogram] [] [2014-12-15 12:25:39] [bcd8153d44f369b7624d3c1b4621c4c3]
-    D                            [Histogram] [] [2014-12-15 12:26:25] [bcd8153d44f369b7624d3c1b4621c4c3]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
4
6
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1
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0
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6
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3

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 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 & 0 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268211&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]0 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=268211&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268211&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 time0 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[0,1[0.560.0150.0150.015
[1,2[1.5140.0350.050.035
[2,3[2.5250.06250.11250.0625
[3,4[3.5430.10750.220.1075
[4,5[4.5920.230.450.23
[5,6]5.52200.5510.55

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0,1[ & 0.5 & 6 & 0.015 & 0.015 & 0.015 \tabularnewline
[1,2[ & 1.5 & 14 & 0.035 & 0.05 & 0.035 \tabularnewline
[2,3[ & 2.5 & 25 & 0.0625 & 0.1125 & 0.0625 \tabularnewline
[3,4[ & 3.5 & 43 & 0.1075 & 0.22 & 0.1075 \tabularnewline
[4,5[ & 4.5 & 92 & 0.23 & 0.45 & 0.23 \tabularnewline
[5,6] & 5.5 & 220 & 0.55 & 1 & 0.55 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268211&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][0,1[[/C][C]0.5[/C][C]6[/C][C]0.015[/C][C]0.015[/C][C]0.015[/C][/ROW]
[ROW][C][1,2[[/C][C]1.5[/C][C]14[/C][C]0.035[/C][C]0.05[/C][C]0.035[/C][/ROW]
[ROW][C][2,3[[/C][C]2.5[/C][C]25[/C][C]0.0625[/C][C]0.1125[/C][C]0.0625[/C][/ROW]
[ROW][C][3,4[[/C][C]3.5[/C][C]43[/C][C]0.1075[/C][C]0.22[/C][C]0.1075[/C][/ROW]
[ROW][C][4,5[[/C][C]4.5[/C][C]92[/C][C]0.23[/C][C]0.45[/C][C]0.23[/C][/ROW]
[ROW][C][5,6][/C][C]5.5[/C][C]220[/C][C]0.55[/C][C]1[/C][C]0.55[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268211&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268211&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
[0,1[0.560.0150.0150.015
[1,2[1.5140.0350.050.035
[2,3[2.5250.06250.11250.0625
[3,4[3.5430.10750.220.1075
[4,5[4.5920.230.450.23
[5,6]5.52200.5510.55






Summary Statistics
> summary(x)
   Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
  0.000   4.000   5.000   4.402   5.250   6.000 


\begin{tabular}{lllllllll}
\hline
Summary Statistics \tabularnewline

> summary(x)
   Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
  0.000   4.000   5.000   4.402   5.250   6.000 

 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268211&T=2

[TABLE]
[ROW][C]Summary Statistics[/C][/ROW]
[ROW][C]
> summary(x)
   Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
  0.000   4.000   5.000   4.402   5.250   6.000 

[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268211&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268211&T=2

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


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

Summary Statistics
> summary(x)
   Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
  0.000   4.000   5.000   4.402   5.250   6.000


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
Parameters (R input):
par1 = 6 ; par2 = brown ; 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')
}

a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Summary Statistics',1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,paste('
',RC.texteval('summary(x)'),'
',sep=''))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable1.tab')