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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 19:30:56 +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/t1422560137yz10gnk5u2chorc.htm/, Retrieved Tue, 14 May 2024 11:14:07 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=276283, Retrieved Tue, 14 May 2024 11:14:07 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact93

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Histogram - verko...] [2015-01-29 19:30:56] [780a12e068e7a755e562c551b60f6f33] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
30734
37054
40498
46282
35669
43810
46582
49690
35763
47160
49619
53092
38128
47410
51153
55931
42223
50211
55575
56529
39643
47098
48794
53823
37729
48191
52498
57319
44377
48081
52597
53331
39587
46278
50365
57176
39251
47946
50427
54317
41210
50592
55728
59099
47519
53203
53882
55163
45255
50423
52161
54562
40971
48014
48440
44967
27218
30269
33234
36811
27745
31891
32398
34093
28358
29532
30769
32080
23951
34628
22978
35704
23090
22111
28925
35968
28963
34074
39160
51314

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=276283&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=276283&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=276283&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
[20000,25000[2250040.050.051e-05
[25000,30000[2750060.0750.1251.5e-05
[30000,35000[32500100.1250.252.5e-05
[35000,40000[37500120.150.43e-05
[40000,45000[4250070.08750.48751.8e-05
[45000,50000[47500160.20.68754e-05
[50000,55000[52500170.21250.94.2e-05
[55000,60000]5750080.112e-05

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[20000,25000[ & 22500 & 4 & 0.05 & 0.05 & 1e-05 \tabularnewline
[25000,30000[ & 27500 & 6 & 0.075 & 0.125 & 1.5e-05 \tabularnewline
[30000,35000[ & 32500 & 10 & 0.125 & 0.25 & 2.5e-05 \tabularnewline
[35000,40000[ & 37500 & 12 & 0.15 & 0.4 & 3e-05 \tabularnewline
[40000,45000[ & 42500 & 7 & 0.0875 & 0.4875 & 1.8e-05 \tabularnewline
[45000,50000[ & 47500 & 16 & 0.2 & 0.6875 & 4e-05 \tabularnewline
[50000,55000[ & 52500 & 17 & 0.2125 & 0.9 & 4.2e-05 \tabularnewline
[55000,60000] & 57500 & 8 & 0.1 & 1 & 2e-05 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=276283&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][20000,25000[[/C][C]22500[/C][C]4[/C][C]0.05[/C][C]0.05[/C][C]1e-05[/C][/ROW]
[ROW][C][25000,30000[[/C][C]27500[/C][C]6[/C][C]0.075[/C][C]0.125[/C][C]1.5e-05[/C][/ROW]
[ROW][C][30000,35000[[/C][C]32500[/C][C]10[/C][C]0.125[/C][C]0.25[/C][C]2.5e-05[/C][/ROW]
[ROW][C][35000,40000[[/C][C]37500[/C][C]12[/C][C]0.15[/C][C]0.4[/C][C]3e-05[/C][/ROW]
[ROW][C][40000,45000[[/C][C]42500[/C][C]7[/C][C]0.0875[/C][C]0.4875[/C][C]1.8e-05[/C][/ROW]
[ROW][C][45000,50000[[/C][C]47500[/C][C]16[/C][C]0.2[/C][C]0.6875[/C][C]4e-05[/C][/ROW]
[ROW][C][50000,55000[[/C][C]52500[/C][C]17[/C][C]0.2125[/C][C]0.9[/C][C]4.2e-05[/C][/ROW]
[ROW][C][55000,60000][/C][C]57500[/C][C]8[/C][C]0.1[/C][C]1[/C][C]2e-05[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=276283&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=276283&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
[20000,25000[2250040.050.051e-05
[25000,30000[2750060.0750.1251.5e-05
[30000,35000[32500100.1250.252.5e-05
[35000,40000[37500120.150.43e-05
[40000,45000[4250070.08750.48751.8e-05
[45000,50000[47500160.20.68754e-05
[50000,55000[52500170.21250.94.2e-05
[55000,60000]5750080.112e-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')
}