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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, 18 May 2011 21:06:34 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/May/18/t13057525823tmdoumej5qshfr.htm/, Retrieved Mon, 13 May 2024 23:31:49 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=121923, Retrieved Mon, 13 May 2024 23:31:49 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W1
Estimated Impact84

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Histogram] [Histogram - aanta...] [2011-02-15 22:35:32] [74be16979710d4c4e7c6647856088456]
- R P     [Histogram] [Histogram - aanta...] [2011-05-18 21:06:34] [ebb64913e7d7e5b0e5266ebfea2a3acd] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
26281
23899
25727
30733
28599
16723
43738
45272
46532
41032
37967
35366
33892
21560
26588
33527
24859
17952
45504
40129
40357
41913
33730
37842
33025
24050
30429
34507
25189
20253
48527
44446
46380
48950
38883
42928
37107
30186
32602
39892
32194
21629
59968
45694
55756
48554
41052
49822
39191
31994
35735
38930
33658
23849
58972
59249
63955
53785
52760
44795
37348
32370
32717
40974
33591
21124
58608
46865
51378
46235
47206
45382
41227
33795
31295
42625
33625
21538
56421
53152
53536
52408
41454
38271
35306
26414
31917
38030
27534
18387

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 Ronald Aylmer Fisher' @ 193.190.124.24

\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 Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=121923&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 Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=121923&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=121923&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 Ronald Aylmer Fisher' @ 193.190.124.24






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[15000,20000[1750030.0333330.0333337e-06
[20000,25000[2250090.10.1333332e-05
[25000,30000[2750070.0777780.2111111.6e-05
[30000,35000[32500190.2111110.4222224.2e-05
[35000,40000[37500130.1444440.5666672.9e-05
[40000,45000[42500130.1444440.7111112.9e-05
[45000,50000[47500130.1444440.8555562.9e-05
[50000,55000[5250060.0666670.9222221.3e-05
[55000,60000[5750060.0666670.9888891.3e-05
[60000,65000]6250010.01111112e-06

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[15000,20000[ & 17500 & 3 & 0.033333 & 0.033333 & 7e-06 \tabularnewline
[20000,25000[ & 22500 & 9 & 0.1 & 0.133333 & 2e-05 \tabularnewline
[25000,30000[ & 27500 & 7 & 0.077778 & 0.211111 & 1.6e-05 \tabularnewline
[30000,35000[ & 32500 & 19 & 0.211111 & 0.422222 & 4.2e-05 \tabularnewline
[35000,40000[ & 37500 & 13 & 0.144444 & 0.566667 & 2.9e-05 \tabularnewline
[40000,45000[ & 42500 & 13 & 0.144444 & 0.711111 & 2.9e-05 \tabularnewline
[45000,50000[ & 47500 & 13 & 0.144444 & 0.855556 & 2.9e-05 \tabularnewline
[50000,55000[ & 52500 & 6 & 0.066667 & 0.922222 & 1.3e-05 \tabularnewline
[55000,60000[ & 57500 & 6 & 0.066667 & 0.988889 & 1.3e-05 \tabularnewline
[60000,65000] & 62500 & 1 & 0.011111 & 1 & 2e-06 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=121923&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][15000,20000[[/C][C]17500[/C][C]3[/C][C]0.033333[/C][C]0.033333[/C][C]7e-06[/C][/ROW]
[ROW][C][20000,25000[[/C][C]22500[/C][C]9[/C][C]0.1[/C][C]0.133333[/C][C]2e-05[/C][/ROW]
[ROW][C][25000,30000[[/C][C]27500[/C][C]7[/C][C]0.077778[/C][C]0.211111[/C][C]1.6e-05[/C][/ROW]
[ROW][C][30000,35000[[/C][C]32500[/C][C]19[/C][C]0.211111[/C][C]0.422222[/C][C]4.2e-05[/C][/ROW]
[ROW][C][35000,40000[[/C][C]37500[/C][C]13[/C][C]0.144444[/C][C]0.566667[/C][C]2.9e-05[/C][/ROW]
[ROW][C][40000,45000[[/C][C]42500[/C][C]13[/C][C]0.144444[/C][C]0.711111[/C][C]2.9e-05[/C][/ROW]
[ROW][C][45000,50000[[/C][C]47500[/C][C]13[/C][C]0.144444[/C][C]0.855556[/C][C]2.9e-05[/C][/ROW]
[ROW][C][50000,55000[[/C][C]52500[/C][C]6[/C][C]0.066667[/C][C]0.922222[/C][C]1.3e-05[/C][/ROW]
[ROW][C][55000,60000[[/C][C]57500[/C][C]6[/C][C]0.066667[/C][C]0.988889[/C][C]1.3e-05[/C][/ROW]
[ROW][C][60000,65000][/C][C]62500[/C][C]1[/C][C]0.011111[/C][C]1[/C][C]2e-06[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=121923&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=121923&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
[15000,20000[1750030.0333330.0333337e-06
[20000,25000[2250090.10.1333332e-05
[25000,30000[2750070.0777780.2111111.6e-05
[30000,35000[32500190.2111110.4222224.2e-05
[35000,40000[37500130.1444440.5666672.9e-05
[40000,45000[42500130.1444440.7111112.9e-05
[45000,50000[47500130.1444440.8555562.9e-05
[50000,55000[5250060.0666670.9222221.3e-05
[55000,60000[5750060.0666670.9888891.3e-05
[60000,65000]6250010.01111112e-06


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par2 = grey ; par3 = FALSE ; par4 = Interval/Ratio ;
Parameters (R input):
par1 = ; par2 = grey ; par3 = FALSE ; par4 = Interval/Ratio ;
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')
}