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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, 30 Sep 2008 08:19:59 -0600
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/Sep/30/t1222784479thmsl8p59u3xlem.htm/, Retrieved Sat, 18 May 2024 17:11:19 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=14869, Retrieved Sat, 18 May 2024 17:11:19 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact188

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Opgave 2 - Opdrac...] [2008-09-30 14:19:59] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0.89
0.88
0.87
0.87
0.87
0.87
0.88
0.87
0.86
0.86
0.86
0.84
0.84
0.83
0.84
0.88
0.9
0.89
0.91
0.94
0.94
0.95
0.95
0.98
0.96
1
1.05
1.03
1.07
1.12
1.1
1.06
1.11
1.08
1.07
1.02
1
1.04
1.02
1.07
1.12
1.08
1.02
1.01
1.04
0.98
0.95
0.94
0.94
0.96
0.97
1.03
1.01
0.99
1
1
1.02
1.01
0.99
0.98
1.01
1.03
1.03
1
0.96
0.97
0.98
1.02
1.04
1.01
1.01
1
1.01
1.02
1.03
1.06
1.12
1.12
1.13
1.13
1.13
1.17
1.14
1.08
1.07
1.12
1.14
1.21
1.2
1.23
1.29
1.31
1.37
1.35
1.26
1.26

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'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=14869&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=14869&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=14869&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'Gwilym Jenkins' @ 72.249.127.135






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[0.8,0.85[0.82540.0416670.0416670.833333
[0.85,0.9[0.875130.1354170.1770832.708333
[0.9,0.95[0.92560.06250.2395831.25
[0.95,1[0.975140.1458330.3854172.916667
[1,1.05[1.025270.281250.6666675.625
[1.05,1.1[1.075100.1041670.7708332.083333
[1.1,1.15[1.125120.1250.8958332.5
[1.15,1.2[1.17510.0104170.906250.208333
[1.2,1.25[1.22530.031250.93750.625
[1.25,1.3[1.27530.031250.968750.625
[1.3,1.35[1.32510.0104170.9791670.208333
[1.35,1.4]1.37520.02083310.416667

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0.8,0.85[ & 0.825 & 4 & 0.041667 & 0.041667 & 0.833333 \tabularnewline
[0.85,0.9[ & 0.875 & 13 & 0.135417 & 0.177083 & 2.708333 \tabularnewline
[0.9,0.95[ & 0.925 & 6 & 0.0625 & 0.239583 & 1.25 \tabularnewline
[0.95,1[ & 0.975 & 14 & 0.145833 & 0.385417 & 2.916667 \tabularnewline
[1,1.05[ & 1.025 & 27 & 0.28125 & 0.666667 & 5.625 \tabularnewline
[1.05,1.1[ & 1.075 & 10 & 0.104167 & 0.770833 & 2.083333 \tabularnewline
[1.1,1.15[ & 1.125 & 12 & 0.125 & 0.895833 & 2.5 \tabularnewline
[1.15,1.2[ & 1.175 & 1 & 0.010417 & 0.90625 & 0.208333 \tabularnewline
[1.2,1.25[ & 1.225 & 3 & 0.03125 & 0.9375 & 0.625 \tabularnewline
[1.25,1.3[ & 1.275 & 3 & 0.03125 & 0.96875 & 0.625 \tabularnewline
[1.3,1.35[ & 1.325 & 1 & 0.010417 & 0.979167 & 0.208333 \tabularnewline
[1.35,1.4] & 1.375 & 2 & 0.020833 & 1 & 0.416667 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=14869&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][0.8,0.85[[/C][C]0.825[/C][C]4[/C][C]0.041667[/C][C]0.041667[/C][C]0.833333[/C][/ROW]
[ROW][C][0.85,0.9[[/C][C]0.875[/C][C]13[/C][C]0.135417[/C][C]0.177083[/C][C]2.708333[/C][/ROW]
[ROW][C][0.9,0.95[[/C][C]0.925[/C][C]6[/C][C]0.0625[/C][C]0.239583[/C][C]1.25[/C][/ROW]
[ROW][C][0.95,1[[/C][C]0.975[/C][C]14[/C][C]0.145833[/C][C]0.385417[/C][C]2.916667[/C][/ROW]
[ROW][C][1,1.05[[/C][C]1.025[/C][C]27[/C][C]0.28125[/C][C]0.666667[/C][C]5.625[/C][/ROW]
[ROW][C][1.05,1.1[[/C][C]1.075[/C][C]10[/C][C]0.104167[/C][C]0.770833[/C][C]2.083333[/C][/ROW]
[ROW][C][1.1,1.15[[/C][C]1.125[/C][C]12[/C][C]0.125[/C][C]0.895833[/C][C]2.5[/C][/ROW]
[ROW][C][1.15,1.2[[/C][C]1.175[/C][C]1[/C][C]0.010417[/C][C]0.90625[/C][C]0.208333[/C][/ROW]
[ROW][C][1.2,1.25[[/C][C]1.225[/C][C]3[/C][C]0.03125[/C][C]0.9375[/C][C]0.625[/C][/ROW]
[ROW][C][1.25,1.3[[/C][C]1.275[/C][C]3[/C][C]0.03125[/C][C]0.96875[/C][C]0.625[/C][/ROW]
[ROW][C][1.3,1.35[[/C][C]1.325[/C][C]1[/C][C]0.010417[/C][C]0.979167[/C][C]0.208333[/C][/ROW]
[ROW][C][1.35,1.4][/C][C]1.375[/C][C]2[/C][C]0.020833[/C][C]1[/C][C]0.416667[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=14869&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=14869&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
[0.8,0.85[0.82540.0416670.0416670.833333
[0.85,0.9[0.875130.1354170.1770832.708333
[0.9,0.95[0.92560.06250.2395831.25
[0.95,1[0.975140.1458330.3854172.916667
[1,1.05[1.025270.281250.6666675.625
[1.05,1.1[1.075100.1041670.7708332.083333
[1.1,1.15[1.125120.1250.8958332.5
[1.15,1.2[1.17510.0104170.906250.208333
[1.2,1.25[1.22530.031250.93750.625
[1.25,1.3[1.27530.031250.968750.625
[1.3,1.35[1.32510.0104170.9791670.208333
[1.35,1.4]1.37520.02083310.416667


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')