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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_percentiles.wasp
Title produced by softwarePercentiles
Date of computationWed, 23 Oct 2013 09:32:40 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Oct/23/t13825351647fs2eezu9yt9nhe.htm/, Retrieved Sat, 27 Apr 2024 15:46:59 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=218931, Retrieved Sat, 27 Apr 2024 15:46:59 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact64

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Percentiles] [] [2013-10-23 13:32:40] [05fc9f73518f9509c56332c989d681e3] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
7	7	4	5
6	6	6	6
6	6	5	5
5	6	4	5
6	6	6	6
7	7	6	7
7	7	7	7
7	7	6	7
7	6	5	6
6	6	5	6
4	7	7	6
6	7	7	7
6	7	7	7
7	7	7	7
6	7	7	7
6	6	6	5
4	7	6	7
7	7	7	7
7	7	7	6
6	7	6	6
3	5	5	6
7	4	7	6
5	6	5	4
7	7	7	7
6	7	6	7
5	7	6	5
5	7	6	5
6	6	2	6
5	2	2	2
6	6	5	7
6	7	6	6
5	6	6	6
4	4	4	6
5	5	4	6
4	5	5	6
6	6	6	6
6	7	5	5
7	6	6	6
7	7	7	7
7	6	7	6
7	7	5	7
5	6	6	6
6	5	5	6
6	6	6	6
3	7	5	6
6	5	4	5
5	6	5	6
4	5	6	5
6	6	6	7
6	6	3	5
6	6	4	6
5	7	6	5
6	6	6	7
5	6	5	7
7	5	5	6
6	5	5	6
6	6	6	6
7	7	6	5
4	5	6	6
3	4	4	1
4	6	3	4
4	6	5	5
5	7	5	6
4	5	7	7
6	5	5	4
7	7	7	7
6	6	6	6
6	7	6	5
6	6	6	6
6	6	6	6
7	7	7	7
6	7	6	6
6	6	5	4
6	6	7	6
7	6	6	6
5	4	4	5
4	4	4	5
7	7	6	6
7	7	7	7
6	4	6	5
7	7	6	7
6	6	5	5
5	6	5	5
7	6	5	7
6	6	5	5
5	7	6	5
6	6	7	7
5	4	5	5
7	7	7	4
6	6	3	6
2	2	4	5
5	6	6	7
7	6	7	5
7	6	7	6
7	6	6	6
7	7	7	4
6	6	4	6
5	6	5	5
6	6	5	6
6	6	7	6
5	7	6	6
7	7	3	4
5	5	5	6
6	6	6	7
5	7	5	5
5	5	5	5
5	5	5	5
5	6	5	7
7	7	7	7
6	6	6	5
7	7	7	7
6	6	6	6
5	5	4	4
5	5	5	5
7	7	7	7
6	5	5	5
5	6	6	4
7	7	5	6
4	6	2	7
3	6	4	5
7	4	5	5
5	6	5	6
6	5	6	7
4	4	4	3
7	7	7	7
7	7	6	6
5	6	6	6
7	7	6	6
3	6	5	6
6	5	5	6
5	5	5	5
5	6	6	6
6	6	4	6
5	7	6	6
6	6	5	6
6	5	5	6
7	7	5	7
5	5	6	7
7	7	7	6
6	5	6	6
6	5	5	5
7	7	6	6
7	4	6	6
5	6	4	6
7	7	6	7
5	5	4	5
6	5	6	6
7	6	6	6
6	5	6	6
5	6	5	6
6	7	5	4
7	7	5	6
6	7	6	6
7	7	7	7
7	7	7	7
6	4	4	6
6	7	6	6
4	7	4	4
7	6	7	5
6	6	4	6
4	5	4	5
5	5	5	5

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'Sir Maurice George Kendall' @ kendall.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 & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=218931&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]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=218931&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=218931&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'Sir Maurice George Kendall' @ kendall.wessa.net


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
Parameters (R input):
R code (references can be found in the software module):
x <-sort(x[!is.na(x)])
q1 <- function(data,n,p,i,f) {
np <- n*p;
i <<- floor(np)
f <<- np - i
qvalue <- (1-f)*data[i] + f*data[i+1]
}
q2 <- function(data,n,p,i,f) {
np <- (n+1)*p
i <<- floor(np)
f <<- np - i
qvalue <- (1-f)*data[i] + f*data[i+1]
}
q3 <- function(data,n,p,i,f) {
np <- n*p
i <<- floor(np)
f <<- np - i
if (f==0) {
qvalue <- data[i]
} else {
qvalue <- data[i+1]
}
}
q4 <- function(data,n,p,i,f) {
np <- n*p
i <<- floor(np)
f <<- np - i
if (f==0) {
qvalue <- (data[i]+data[i+1])/2
} else {
qvalue <- data[i+1]
}
}
q5 <- function(data,n,p,i,f) {
np <- (n-1)*p
i <<- floor(np)
f <<- np - i
if (f==0) {
qvalue <- data[i+1]
} else {
qvalue <- data[i+1] + f*(data[i+2]-data[i+1])
}
}
q6 <- function(data,n,p,i,f) {
np <- n*p+0.5
i <<- floor(np)
f <<- np - i
qvalue <- data[i]
}
q7 <- function(data,n,p,i,f) {
np <- (n+1)*p
i <<- floor(np)
f <<- np - i
if (f==0) {
qvalue <- data[i]
} else {
qvalue <- f*data[i] + (1-f)*data[i+1]
}
}
q8 <- function(data,n,p,i,f) {
np <- (n+1)*p
i <<- floor(np)
f <<- np - i
if (f==0) {
qvalue <- data[i]
} else {
if (f == 0.5) {
qvalue <- (data[i]+data[i+1])/2
} else {
if (f < 0.5) {
qvalue <- data[i]
} else {
qvalue <- data[i+1]
}
}
}
}
lx <- length(x)
qval <- array(NA,dim=c(99,8))
mystep <- 25
mystart <- 25
if (lx>10){
mystep=10
mystart=10
}
if (lx>20){
mystep=5
mystart=5
}
if (lx>50){
mystep=2
mystart=2
}
if (lx>=100){
mystep=1
mystart=1
}
for (perc in seq(mystart,99,mystep)) {
qval[perc,1] <- q1(x,lx,perc/100,i,f)
qval[perc,2] <- q2(x,lx,perc/100,i,f)
qval[perc,3] <- q3(x,lx,perc/100,i,f)
qval[perc,4] <- q4(x,lx,perc/100,i,f)
qval[perc,5] <- q5(x,lx,perc/100,i,f)
qval[perc,6] <- q6(x,lx,perc/100,i,f)
qval[perc,7] <- q7(x,lx,perc/100,i,f)
qval[perc,8] <- q8(x,lx,perc/100,i,f)
}
bitmap(file='test1.png')
myqqnorm <- qqnorm(x,col=2)
qqline(x)
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Percentiles - Ungrouped Data',9,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p',1,TRUE)
a<-table.element(a,hyperlink('method_1.htm', 'Weighted Average at Xnp',''),1,TRUE)
a<-table.element(a,hyperlink('method_2.htm','Weighted Average at X(n+1)p',''),1,TRUE)
a<-table.element(a,hyperlink('method_3.htm','Empirical Distribution Function',''),1,TRUE)
a<-table.element(a,hyperlink('method_4.htm','Empirical Distribution Function - Averaging',''),1,TRUE)
a<-table.element(a,hyperlink('method_5.htm','Empirical Distribution Function - Interpolation',''),1,TRUE)
a<-table.element(a,hyperlink('method_6.htm','Closest Observation',''),1,TRUE)
a<-table.element(a,hyperlink('method_7.htm','True Basic - Statistics Graphics Toolkit',''),1,TRUE)
a<-table.element(a,hyperlink('method_8.htm','MS Excel (old versions)',''),1,TRUE)
a<-table.row.end(a)
for (perc in seq(mystart,99,mystep)) {
a<-table.row.start(a)
a<-table.element(a,round(perc/100,2),1,TRUE)
for (j in 1:8) {
a<-table.element(a,round(qval[perc,j],6))
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')