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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 computationSun, 24 Feb 2008 09:00:45 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Feb/24/t1203868885fsarmj4m9bswb23.htm/, Retrieved Sat, 11 May 2024 20:14:19 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=8713, Retrieved Sat, 11 May 2024 20:14:19 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact135

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Frequentietabel s...] [2008-02-24 16:00:45] [7f4b1d09016442cbb55a129b1af5b7b8] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
16.100
15.800
16.900
17.800
17.600
18.300
18.000
15.700
14.500
14.000
15.500
15.800
15.800
15.900
18.000
19.900
20.600
20.600
20.800
20.000
18.500
17.700
17.000
16.600
16.700
17.300
19.100
20.200
20.700
21.500
21.000
16.800
16.800
16.500
17.200
17.300
17.600
18.400
19.900
20.500
21.200
21.300
20.800
18.800
18.100
18.100
18.800
18.700
18.700
19.000
20.100
20.500
21.600
21.800
21.500
21.200
20.400
20.400
20.600
19.300
18.600
19.400
23.500
24.600
25.900
26.600
24.100
21.800
21.300
21.100
21.200
21.600

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132

\begin{tabular}{lllllllll}
\hline
Summary of compuational 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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=8713&T=0

[TABLE]
[ROW][C]Summary of compuational 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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=8713&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=8713&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[14,16[1580.1111110.1111110.055556
[16,18[17150.2083330.3194440.104167
[18,20[19180.250.5694440.125
[20,22[21260.3611110.9305560.180556
[22,24[2310.0138890.9444440.006944
[24,26[2530.0416670.9861110.020833
[26,28]2710.01388910.006944

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[14,16[ & 15 & 8 & 0.111111 & 0.111111 & 0.055556 \tabularnewline
[16,18[ & 17 & 15 & 0.208333 & 0.319444 & 0.104167 \tabularnewline
[18,20[ & 19 & 18 & 0.25 & 0.569444 & 0.125 \tabularnewline
[20,22[ & 21 & 26 & 0.361111 & 0.930556 & 0.180556 \tabularnewline
[22,24[ & 23 & 1 & 0.013889 & 0.944444 & 0.006944 \tabularnewline
[24,26[ & 25 & 3 & 0.041667 & 0.986111 & 0.020833 \tabularnewline
[26,28] & 27 & 1 & 0.013889 & 1 & 0.006944 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=8713&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][14,16[[/C][C]15[/C][C]8[/C][C]0.111111[/C][C]0.111111[/C][C]0.055556[/C][/ROW]
[ROW][C][16,18[[/C][C]17[/C][C]15[/C][C]0.208333[/C][C]0.319444[/C][C]0.104167[/C][/ROW]
[ROW][C][18,20[[/C][C]19[/C][C]18[/C][C]0.25[/C][C]0.569444[/C][C]0.125[/C][/ROW]
[ROW][C][20,22[[/C][C]21[/C][C]26[/C][C]0.361111[/C][C]0.930556[/C][C]0.180556[/C][/ROW]
[ROW][C][22,24[[/C][C]23[/C][C]1[/C][C]0.013889[/C][C]0.944444[/C][C]0.006944[/C][/ROW]
[ROW][C][24,26[[/C][C]25[/C][C]3[/C][C]0.041667[/C][C]0.986111[/C][C]0.020833[/C][/ROW]
[ROW][C][26,28][/C][C]27[/C][C]1[/C][C]0.013889[/C][C]1[/C][C]0.006944[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=8713&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=8713&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
[14,16[1580.1111110.1111110.055556
[16,18[17150.2083330.3194440.104167
[18,20[19180.250.5694440.125
[20,22[21260.3611110.9305560.180556
[22,24[2310.0138890.9444440.006944
[24,26[2530.0416670.9861110.020833
[26,28]2710.01388910.006944


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.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)
}
dev.off()
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')