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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 computationThu, 29 Jan 2015 10:48:06 +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/2015/Jan/29/t1422528862dzvvu1a5s0inw2w.htm/, Retrieved Mon, 13 May 2024 23:24:28 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=276255, Retrieved Mon, 13 May 2024 23:24:28 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact105

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Frequentietabel H...] [2015-01-29 10:48:06] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
13 671
15 698
18 150
16 245
18 479
18 479
18 819
18 059
17 004
16 981
16 578
21 604
13 419
14 487
17 349
15 646
17 419
17 358
18 221
19 554
14 386
16 833
18 067
19 662
12 192
15 081
13 698
18 474
13 871
15 669
17 597
15 469
15 374
16 568
11 619
16 780
8 700
8 906
9 612
10 073
10 275
9 921
13 237
9 572
10 425
11 385
9 970
15 456
7 708
8 892
11 145
11 069
9 893
10 929
12 240
10 411
9 747
9 950
10 079
14 064
8 368
9 558
10 432
10 068
9 915
9 549
10 433
10 009
10 327
9 453
9 494
13 133
7 082
7 805
9 064
8 236
10 182
16 210
7 451
8 384
7 143
8 507
9 833
17 364
6 260
7 897
8 933
6 554
8 333
7 224
9 659
9 977
9 289
9 929
10 576
15 463

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'Herman Ole Andreas Wold' @ wold.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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=276255&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=276255&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=276255&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'Herman Ole Andreas Wold' @ wold.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[6000,8000[700090.093750.093754.7e-05
[8000,10000[9000270.281250.3750.000141
[10000,12000[11000170.1770830.5520838.9e-05
[12000,14000[1300080.0833330.6354174.2e-05
[14000,16000[15000110.1145830.755.7e-05
[16000,18000[17000130.1354170.8854176.8e-05
[18000,20000[19000100.1041670.9895835.2e-05
[20000,22000]2100010.01041715e-06

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[6000,8000[ & 7000 & 9 & 0.09375 & 0.09375 & 4.7e-05 \tabularnewline
[8000,10000[ & 9000 & 27 & 0.28125 & 0.375 & 0.000141 \tabularnewline
[10000,12000[ & 11000 & 17 & 0.177083 & 0.552083 & 8.9e-05 \tabularnewline
[12000,14000[ & 13000 & 8 & 0.083333 & 0.635417 & 4.2e-05 \tabularnewline
[14000,16000[ & 15000 & 11 & 0.114583 & 0.75 & 5.7e-05 \tabularnewline
[16000,18000[ & 17000 & 13 & 0.135417 & 0.885417 & 6.8e-05 \tabularnewline
[18000,20000[ & 19000 & 10 & 0.104167 & 0.989583 & 5.2e-05 \tabularnewline
[20000,22000] & 21000 & 1 & 0.010417 & 1 & 5e-06 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=276255&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][6000,8000[[/C][C]7000[/C][C]9[/C][C]0.09375[/C][C]0.09375[/C][C]4.7e-05[/C][/ROW]
[ROW][C][8000,10000[[/C][C]9000[/C][C]27[/C][C]0.28125[/C][C]0.375[/C][C]0.000141[/C][/ROW]
[ROW][C][10000,12000[[/C][C]11000[/C][C]17[/C][C]0.177083[/C][C]0.552083[/C][C]8.9e-05[/C][/ROW]
[ROW][C][12000,14000[[/C][C]13000[/C][C]8[/C][C]0.083333[/C][C]0.635417[/C][C]4.2e-05[/C][/ROW]
[ROW][C][14000,16000[[/C][C]15000[/C][C]11[/C][C]0.114583[/C][C]0.75[/C][C]5.7e-05[/C][/ROW]
[ROW][C][16000,18000[[/C][C]17000[/C][C]13[/C][C]0.135417[/C][C]0.885417[/C][C]6.8e-05[/C][/ROW]
[ROW][C][18000,20000[[/C][C]19000[/C][C]10[/C][C]0.104167[/C][C]0.989583[/C][C]5.2e-05[/C][/ROW]
[ROW][C][20000,22000][/C][C]21000[/C][C]1[/C][C]0.010417[/C][C]1[/C][C]5e-06[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=276255&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=276255&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
[6000,8000[700090.093750.093754.7e-05
[8000,10000[9000270.281250.3750.000141
[10000,12000[11000170.1770830.5520838.9e-05
[12000,14000[1300080.0833330.6354174.2e-05
[14000,16000[15000110.1145830.755.7e-05
[16000,18000[17000130.1354170.8854176.8e-05
[18000,20000[19000100.1041670.9895835.2e-05
[20000,22000]2100010.01041715e-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')
}