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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 computationMon, 13 Aug 2012 06:03:39 -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/2012/Aug/13/t13448626121q5h613gxi5872m.htm/, Retrieved Sat, 27 Apr 2024 23:22:13 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=169280, Retrieved Sat, 27 Apr 2024 23:22:13 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsBelis Olivier
Estimated Impact149

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [TIJDREEKS A - STAP 3] [2012-08-13 10:03:39] [606e5654d317e57bd58e5a48c9e4e9a9] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
19064
18993
18921
18772
20246
20168
19064
18330
18401
18401
18480
18622
18843
18843
18701
18330
20246
20538
20097
19064
19506
18843
19142
19285
19434
19064
19142
18622
20246
20759
20318
19506
20389
19434
20318
20246
20467
19655
20538
20467
21792
21493
20318
19726
20538
19434
20246
20389
20688
20026
20389
20610
21422
20759
19876
18921
19805
17375
18551
19213
19876
18921
18921
18921
19434
18701
17739
16934
17518
15238
16635
17447
17596
16784
16855
16635
17375
16855
15830
15089
16342
13621
15388
16193
16193
15238
14355
14284
15089
14355
12959
11997
13030
10601
12809
13984
14355
13543
12517
13251
13543
13322
11113
10088
10821
8613
10893
11705
12367
11263
10230
10821
11113
10529
8321
7359
8242
5813
8463
10088

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R Server'Gertrude Mary Cox' @ cox.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 & 0 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=169280&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]0 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=169280&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=169280&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 time0 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[4000,6000[500010.0083330.0083334e-06
[6000,8000[700010.0083330.0166674e-06
[8000,10000[900040.0333330.051.7e-05
[10000,12000[11000130.1083330.1583335.4e-05
[12000,14000[13000110.0916670.254.6e-05
[14000,16000[15000100.0833330.3333334.2e-05
[16000,18000[17000150.1250.4583336.2e-05
[18000,20000[19000390.3250.7833330.000162
[20000,22000]21000260.21666710.000108

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[4000,6000[ & 5000 & 1 & 0.008333 & 0.008333 & 4e-06 \tabularnewline
[6000,8000[ & 7000 & 1 & 0.008333 & 0.016667 & 4e-06 \tabularnewline
[8000,10000[ & 9000 & 4 & 0.033333 & 0.05 & 1.7e-05 \tabularnewline
[10000,12000[ & 11000 & 13 & 0.108333 & 0.158333 & 5.4e-05 \tabularnewline
[12000,14000[ & 13000 & 11 & 0.091667 & 0.25 & 4.6e-05 \tabularnewline
[14000,16000[ & 15000 & 10 & 0.083333 & 0.333333 & 4.2e-05 \tabularnewline
[16000,18000[ & 17000 & 15 & 0.125 & 0.458333 & 6.2e-05 \tabularnewline
[18000,20000[ & 19000 & 39 & 0.325 & 0.783333 & 0.000162 \tabularnewline
[20000,22000] & 21000 & 26 & 0.216667 & 1 & 0.000108 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=169280&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][4000,6000[[/C][C]5000[/C][C]1[/C][C]0.008333[/C][C]0.008333[/C][C]4e-06[/C][/ROW]
[ROW][C][6000,8000[[/C][C]7000[/C][C]1[/C][C]0.008333[/C][C]0.016667[/C][C]4e-06[/C][/ROW]
[ROW][C][8000,10000[[/C][C]9000[/C][C]4[/C][C]0.033333[/C][C]0.05[/C][C]1.7e-05[/C][/ROW]
[ROW][C][10000,12000[[/C][C]11000[/C][C]13[/C][C]0.108333[/C][C]0.158333[/C][C]5.4e-05[/C][/ROW]
[ROW][C][12000,14000[[/C][C]13000[/C][C]11[/C][C]0.091667[/C][C]0.25[/C][C]4.6e-05[/C][/ROW]
[ROW][C][14000,16000[[/C][C]15000[/C][C]10[/C][C]0.083333[/C][C]0.333333[/C][C]4.2e-05[/C][/ROW]
[ROW][C][16000,18000[[/C][C]17000[/C][C]15[/C][C]0.125[/C][C]0.458333[/C][C]6.2e-05[/C][/ROW]
[ROW][C][18000,20000[[/C][C]19000[/C][C]39[/C][C]0.325[/C][C]0.783333[/C][C]0.000162[/C][/ROW]
[ROW][C][20000,22000][/C][C]21000[/C][C]26[/C][C]0.216667[/C][C]1[/C][C]0.000108[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=169280&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=169280&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
[4000,6000[500010.0083330.0083334e-06
[6000,8000[700010.0083330.0166674e-06
[8000,10000[900040.0333330.051.7e-05
[10000,12000[11000130.1083330.1583335.4e-05
[12000,14000[13000110.0916670.254.6e-05
[14000,16000[15000100.0833330.3333334.2e-05
[16000,18000[17000150.1250.4583336.2e-05
[18000,20000[19000390.3250.7833330.000162
[20000,22000]21000260.21666710.000108


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')
}