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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationTue, 21 Dec 2010 17:41:17 +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/2010/Dec/21/t1292953154ympj4zw2z359xqa.htm/, Retrieved Fri, 17 May 2024 01:43:01 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=113778, Retrieved Fri, 17 May 2024 01:43:01 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact122

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Histogram] [Frequency Plot (C...] [2010-09-25 09:09:15] [b98453cac15ba1066b407e146608df68]
-    D  [Histogram] [paper frequency plot] [2010-12-07 18:45:52] [8214fe6d084e5ad7598b249a26cc9f06]
- RMPD    [Univariate Data Series] [werklozen] [2010-12-20 19:29:28] [8214fe6d084e5ad7598b249a26cc9f06]
-   PD      [Univariate Data Series] [laaggeschoolde we...] [2010-12-21 17:24:15] [8214fe6d084e5ad7598b249a26cc9f06]
- RMP         [Histogram] [histogram laagges...] [2010-12-21 17:33:57] [8214fe6d084e5ad7598b249a26cc9f06]
-    D          [Histogram] [histogram middeng...] [2010-12-21 17:38:06] [8214fe6d084e5ad7598b249a26cc9f06]
-    D              [Histogram] [histogram hoogges...] [2010-12-21 17:41:17] [b47314d83d48c7bf812ec2bcd743b159] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
19246
17549
16428
16209
15235
16186
24971
30776
26416
23157
20155
19790
18849
17573
16597
16158
15507
16433
26325
31144
30535
27596
24064
23854
22407
21125
20226
19547
18933
20372
34331
37329
36761
32737
29321
28883
27436
25101
23776
23782
23027
25606
41328
44751
42855
37628
33544
33275
32009
30813
29143
28121
27007
29112
44067
48481
46581
41166
36824
35936
33633
31630
30434
28546
27660
29830
45599
49303
44417
40386
35544
35019
30400
29602
27701
27937
27283
29372
42821
45386
40170
34371
30077
29251
27202
25714
23784
22968
22243
24255
37282
38794
31828
27949
24605
25695
23338
21941
22034
20637
19418
22454
33261
34995
29132
26171
23828
25743
25204
25679
25281
25136
24794
28278
40062
42590
37885
34061
32412
34647
31750
31288
29331
28768
27780
30113
41240
43271
38108
34382
31551

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=113778&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]2 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=113778&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=113778&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 time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[15000,20000[17500160.1221370.1221372.4e-05
[20000,25000[22500240.1832060.3053443.7e-05
[25000,30000[27500360.2748090.5801535.5e-05
[30000,35000[32500260.1984730.7786264e-05
[35000,40000[37500110.0839690.8625951.7e-05
[40000,45000[42500130.0992370.9618322e-05
[45000,50000]4750050.03816818e-06

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[15000,20000[ & 17500 & 16 & 0.122137 & 0.122137 & 2.4e-05 \tabularnewline
[20000,25000[ & 22500 & 24 & 0.183206 & 0.305344 & 3.7e-05 \tabularnewline
[25000,30000[ & 27500 & 36 & 0.274809 & 0.580153 & 5.5e-05 \tabularnewline
[30000,35000[ & 32500 & 26 & 0.198473 & 0.778626 & 4e-05 \tabularnewline
[35000,40000[ & 37500 & 11 & 0.083969 & 0.862595 & 1.7e-05 \tabularnewline
[40000,45000[ & 42500 & 13 & 0.099237 & 0.961832 & 2e-05 \tabularnewline
[45000,50000] & 47500 & 5 & 0.038168 & 1 & 8e-06 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=113778&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]16[/C][C]0.122137[/C][C]0.122137[/C][C]2.4e-05[/C][/ROW]
[ROW][C][20000,25000[[/C][C]22500[/C][C]24[/C][C]0.183206[/C][C]0.305344[/C][C]3.7e-05[/C][/ROW]
[ROW][C][25000,30000[[/C][C]27500[/C][C]36[/C][C]0.274809[/C][C]0.580153[/C][C]5.5e-05[/C][/ROW]
[ROW][C][30000,35000[[/C][C]32500[/C][C]26[/C][C]0.198473[/C][C]0.778626[/C][C]4e-05[/C][/ROW]
[ROW][C][35000,40000[[/C][C]37500[/C][C]11[/C][C]0.083969[/C][C]0.862595[/C][C]1.7e-05[/C][/ROW]
[ROW][C][40000,45000[[/C][C]42500[/C][C]13[/C][C]0.099237[/C][C]0.961832[/C][C]2e-05[/C][/ROW]
[ROW][C][45000,50000][/C][C]47500[/C][C]5[/C][C]0.038168[/C][C]1[/C][C]8e-06[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=113778&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=113778&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[17500160.1221370.1221372.4e-05
[20000,25000[22500240.1832060.3053443.7e-05
[25000,30000[27500360.2748090.5801535.5e-05
[30000,35000[32500260.1984730.7786264e-05
[35000,40000[37500110.0839690.8625951.7e-05
[40000,45000[42500130.0992370.9618322e-05
[45000,50000]4750050.03816818e-06


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')
}