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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, 03 May 2015 11:57:30 +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/03/t1430651171km64wywo5kdwb13.htm/, Retrieved Sun, 05 May 2024 14:37:29 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=279016, Retrieved Sun, 05 May 2024 14:37:29 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact155

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] [] [2015-01-28 14:41:57] [0db1203a49275a847e704777fb3fd563]
- RMP     [Histogram] [] [2015-05-03 10:57:30] [fd1a5f0fdfa1bb1257f3e725ec184603] [Current]
- RMP       [Kernel Density Estimation] [] [2015-05-03 11:18:37] [0db1203a49275a847e704777fb3fd563]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
12849
11380
12079
11366
11328
10444
10854
10434
10137
10992
10906
12367
14371
11695
11546
10922
10670
10254
10573
10239
10253
11176
10719
11817
12487
11519
12025
10976
11276
10657
11141
10423
10640
11426
10948
12540
12200
10644
12044
11338
11292
10612
10995
10686
10635
11285
11475
12535
12490
12511
12799
11876
11602
11062
11055
10855
10704
11510
11663
12686
13516
12539
13811
12354
11441
10814
11261
10788
10326
11490
11029
11876

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=279016&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=279016&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=279016&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






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[10000,10500[1025080.1111110.1111110.000222
[10500,11000[10750200.2777780.3888890.000556
[11000,11500[11250170.2361110.6250.000472
[11500,12000[1175090.1250.750.00025
[12000,12500[1225080.1111110.8611110.000222
[12500,13000[1275070.0972220.9583330.000194
[13000,13500[13250000.9583330
[13500,14000[1375020.0277780.9861115.6e-05
[14000,14500]1425010.01388912.8e-05

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[10000,10500[ & 10250 & 8 & 0.111111 & 0.111111 & 0.000222 \tabularnewline
[10500,11000[ & 10750 & 20 & 0.277778 & 0.388889 & 0.000556 \tabularnewline
[11000,11500[ & 11250 & 17 & 0.236111 & 0.625 & 0.000472 \tabularnewline
[11500,12000[ & 11750 & 9 & 0.125 & 0.75 & 0.00025 \tabularnewline
[12000,12500[ & 12250 & 8 & 0.111111 & 0.861111 & 0.000222 \tabularnewline
[12500,13000[ & 12750 & 7 & 0.097222 & 0.958333 & 0.000194 \tabularnewline
[13000,13500[ & 13250 & 0 & 0 & 0.958333 & 0 \tabularnewline
[13500,14000[ & 13750 & 2 & 0.027778 & 0.986111 & 5.6e-05 \tabularnewline
[14000,14500] & 14250 & 1 & 0.013889 & 1 & 2.8e-05 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=279016&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][10000,10500[[/C][C]10250[/C][C]8[/C][C]0.111111[/C][C]0.111111[/C][C]0.000222[/C][/ROW]
[ROW][C][10500,11000[[/C][C]10750[/C][C]20[/C][C]0.277778[/C][C]0.388889[/C][C]0.000556[/C][/ROW]
[ROW][C][11000,11500[[/C][C]11250[/C][C]17[/C][C]0.236111[/C][C]0.625[/C][C]0.000472[/C][/ROW]
[ROW][C][11500,12000[[/C][C]11750[/C][C]9[/C][C]0.125[/C][C]0.75[/C][C]0.00025[/C][/ROW]
[ROW][C][12000,12500[[/C][C]12250[/C][C]8[/C][C]0.111111[/C][C]0.861111[/C][C]0.000222[/C][/ROW]
[ROW][C][12500,13000[[/C][C]12750[/C][C]7[/C][C]0.097222[/C][C]0.958333[/C][C]0.000194[/C][/ROW]
[ROW][C][13000,13500[[/C][C]13250[/C][C]0[/C][C]0[/C][C]0.958333[/C][C]0[/C][/ROW]
[ROW][C][13500,14000[[/C][C]13750[/C][C]2[/C][C]0.027778[/C][C]0.986111[/C][C]5.6e-05[/C][/ROW]
[ROW][C][14000,14500][/C][C]14250[/C][C]1[/C][C]0.013889[/C][C]1[/C][C]2.8e-05[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=279016&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=279016&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
[10000,10500[1025080.1111110.1111110.000222
[10500,11000[10750200.2777780.3888890.000556
[11000,11500[11250170.2361110.6250.000472
[11500,12000[1175090.1250.750.00025
[12000,12500[1225080.1111110.8611110.000222
[12500,13000[1275070.0972220.9583330.000194
[13000,13500[13250000.9583330
[13500,14000[1375020.0277780.9861115.6e-05
[14000,14500]1425010.01388912.8e-05


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.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')
}