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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 computationWed, 20 May 2015 15:03:34 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/May/20/t1432130649uoohf7mp5b57ipu.htm/, Retrieved Sun, 28 Apr 2024 19:49:09 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=279172, Retrieved Sun, 28 Apr 2024 19:49:09 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsbis
Estimated Impact162

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [Opgave 1 verbeterd] [2015-02-03 18:41:16] [6514c6841f87d5984b117bf64f5432d7]
- RMP   [Histogram] [Opgave 2 opdracht...] [2015-02-03 19:54:08] [6514c6841f87d5984b117bf64f5432d7]
- R       [Histogram] [Opgave 2 opdracht...] [2015-05-20 13:54:52] [6514c6841f87d5984b117bf64f5432d7]
-   P       [Histogram] [Opgave 2 opdracht...] [2015-05-20 14:00:12] [6514c6841f87d5984b117bf64f5432d7]
-   P           [Histogram] [Opgave 2 opdracht...] [2015-05-20 14:03:34] [1738856fac0304df70af8aee7fa46d3f] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
-20
-24
-24
-22
-19
-18
-17
-11
-11
-12
-10
-15
-15
-15
-13
-8
-13
-9
-7
-4
-4
-2
0
-2
-3
1
-2
-1
1
-3
-4
-9
-9
-7
-14
-12
-16
-20
-12
-12
-10
-10
-13
-16
-14
-17
-24
-25
-23
-17
-24
-20
-19
-18
-16
-12
-7
-6
-6
-5
-4
-4
-8
-9
-6
-7
-10
-11
-11
-12
-14
-12

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'George Udny Yule' @ yule.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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=279172&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=279172&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=279172&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'George Udny Yule' @ yule.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[-25,-20[-22.570.0972220.0972220.019444
[-20,-15[-17.5130.1805560.2777780.036111
[-15,-10[-12.5200.2777780.5555560.055556
[-10,-5[-7.5170.2361110.7916670.047222
[-5,0[-2.5120.1666670.9583330.033333
[0,5]2.530.04166710.008333

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[-25,-20[ & -22.5 & 7 & 0.097222 & 0.097222 & 0.019444 \tabularnewline
[-20,-15[ & -17.5 & 13 & 0.180556 & 0.277778 & 0.036111 \tabularnewline
[-15,-10[ & -12.5 & 20 & 0.277778 & 0.555556 & 0.055556 \tabularnewline
[-10,-5[ & -7.5 & 17 & 0.236111 & 0.791667 & 0.047222 \tabularnewline
[-5,0[ & -2.5 & 12 & 0.166667 & 0.958333 & 0.033333 \tabularnewline
[0,5] & 2.5 & 3 & 0.041667 & 1 & 0.008333 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=279172&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][-25,-20[[/C][C]-22.5[/C][C]7[/C][C]0.097222[/C][C]0.097222[/C][C]0.019444[/C][/ROW]
[ROW][C][-20,-15[[/C][C]-17.5[/C][C]13[/C][C]0.180556[/C][C]0.277778[/C][C]0.036111[/C][/ROW]
[ROW][C][-15,-10[[/C][C]-12.5[/C][C]20[/C][C]0.277778[/C][C]0.555556[/C][C]0.055556[/C][/ROW]
[ROW][C][-10,-5[[/C][C]-7.5[/C][C]17[/C][C]0.236111[/C][C]0.791667[/C][C]0.047222[/C][/ROW]
[ROW][C][-5,0[[/C][C]-2.5[/C][C]12[/C][C]0.166667[/C][C]0.958333[/C][C]0.033333[/C][/ROW]
[ROW][C][0,5][/C][C]2.5[/C][C]3[/C][C]0.041667[/C][C]1[/C][C]0.008333[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=279172&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=279172&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
[-25,-20[-22.570.0972220.0972220.019444
[-20,-15[-17.5130.1805560.2777780.036111
[-15,-10[-12.5200.2777780.5555560.055556
[-10,-5[-7.5170.2361110.7916670.047222
[-5,0[-2.5120.1666670.9583330.033333
[0,5]2.530.04166710.008333


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 4 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = 4 ; 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')
}