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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, 25 Jul 2012 08:47:17 -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/Jul/25/t1343220490rh0fsdcuqwvqeqp.htm/, Retrieved Fri, 03 May 2024 18:23:11 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=168866, Retrieved Fri, 03 May 2024 18:23:11 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact135

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 opgave 2] [2012-07-25 12:47:17] [7d6606cca1b3596736d7d387043cb02b] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
7175
7049
6923
6670
9225
9099
7175
5898
6024
6024
6150
6416
5645
4873
4240
4240
6670
6923
4999
2823
3974
3974
4873
5391
5265
3974
4620
4366
6543
6024
3974
2443
3848
4240
4620
5125
4100
3215
3595
3721
7049
7049
5125
4873
5645
5265
6290
7568
7821
6024
5518
4999
8466
8720
8074
8720
8593
7568
8720
9998
10516
8973
7948
8720
12048
13073
12820
13325
13199
11921
14098
14616
15375
13073
12174
13199
15641
17818
17299
17299
17553
16666
18970
18970
18578
16400
16793
17046
18716
20893
19349
20121
19475
19096
22045
21399
20500
19223
20500
21146
21918
22943
21918
22550
21779
21653
24854
25120
24095
22298
23829
24474
25246
26398
25246
26145
25753
24348
27296
27296

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'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 & 1 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=168866&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=168866&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=168866&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'Gertrude Mary Cox' @ cox.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[0,5000[2500220.1833330.1833333.7e-05
[5000,10000[7500410.3416670.5256.8e-05
[10000,15000[12500120.10.6252e-05
[15000,20000[17500180.150.7753e-05
[20000,25000[22500190.1583330.9333333.2e-05
[25000,30000]2750080.06666711.3e-05

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0,5000[ & 2500 & 22 & 0.183333 & 0.183333 & 3.7e-05 \tabularnewline
[5000,10000[ & 7500 & 41 & 0.341667 & 0.525 & 6.8e-05 \tabularnewline
[10000,15000[ & 12500 & 12 & 0.1 & 0.625 & 2e-05 \tabularnewline
[15000,20000[ & 17500 & 18 & 0.15 & 0.775 & 3e-05 \tabularnewline
[20000,25000[ & 22500 & 19 & 0.158333 & 0.933333 & 3.2e-05 \tabularnewline
[25000,30000] & 27500 & 8 & 0.066667 & 1 & 1.3e-05 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=168866&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][0,5000[[/C][C]2500[/C][C]22[/C][C]0.183333[/C][C]0.183333[/C][C]3.7e-05[/C][/ROW]
[ROW][C][5000,10000[[/C][C]7500[/C][C]41[/C][C]0.341667[/C][C]0.525[/C][C]6.8e-05[/C][/ROW]
[ROW][C][10000,15000[[/C][C]12500[/C][C]12[/C][C]0.1[/C][C]0.625[/C][C]2e-05[/C][/ROW]
[ROW][C][15000,20000[[/C][C]17500[/C][C]18[/C][C]0.15[/C][C]0.775[/C][C]3e-05[/C][/ROW]
[ROW][C][20000,25000[[/C][C]22500[/C][C]19[/C][C]0.158333[/C][C]0.933333[/C][C]3.2e-05[/C][/ROW]
[ROW][C][25000,30000][/C][C]27500[/C][C]8[/C][C]0.066667[/C][C]1[/C][C]1.3e-05[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=168866&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=168866&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
[0,5000[2500220.1833330.1833333.7e-05
[5000,10000[7500410.3416670.5256.8e-05
[10000,15000[12500120.10.6252e-05
[15000,20000[17500180.150.7753e-05
[20000,25000[22500190.1583330.9333333.2e-05
[25000,30000]2750080.06666711.3e-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')
}