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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 computationTue, 09 Aug 2011 06:54:12 -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/2011/Aug/09/t1312887287kr4ekvkehpbsksl.htm/, Retrieved Tue, 14 May 2024 07:53:30 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=123472, Retrieved Tue, 14 May 2024 07:53:30 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact134

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Datareeks-histogr...] [2011-08-09 10:54:12] [d41d8cd98f00b204e9800998ecf8427e] [Current]
- R P     [Histogram] [Datareeks-histogr...] [2011-08-09 13:04:18] [74be16979710d4c4e7c6647856088456]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
34671
34355
34035
33373
39924
39577
34671
31409
31724
31724
32075
32706
34671
34035
35017
36631
45813
45813
43853
41888
43502
45466
45813
46795
49742
47777
47777
50724
58893
59555
57911
53982
56928
56928
57244
58893
60191
60853
60853
62817
70355
72315
72630
67724
70355
69373
67408
71653
72630
70986
71333
73613
82133
86372
86372
84412
87355
84412
82764
89004
89981
87670
93559
95870
102741
107301
106670
106319
108950
108630
104706
110594
112559
110594
118763
122692
131839
135448
134470
132505
134150
136114
129559
134785
138079
136750
145265
148207
160652
162932
159990
161634
162616
163598
157358
163247
166509
163247
172749
175692
188451
190416
191047
194340
194340
195638
189749
192696
194656
191047
201527
203491
216567
218878
222140
225087
225402
225749
219860
225749

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=123472&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=123472&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=123472&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
[20000,40000[30000160.1333330.1333337e-06
[40000,60000[50000200.1666670.38e-06
[60000,80000[70000160.1333330.4333337e-06
[80000,1e+05[90000120.10.5333335e-06
[1e+05,120000[110000110.0916670.6255e-06
[120000,140000[130000110.0916670.7166675e-06
[140000,160000[15000040.0333330.752e-06
[160000,180000[170000100.0833330.8333334e-06
[180000,2e+05[190000100.0833330.9166674e-06
[2e+05,220000[21000050.0416670.9583332e-06
[220000,240000]23000050.04166712e-06

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[20000,40000[ & 30000 & 16 & 0.133333 & 0.133333 & 7e-06 \tabularnewline
[40000,60000[ & 50000 & 20 & 0.166667 & 0.3 & 8e-06 \tabularnewline
[60000,80000[ & 70000 & 16 & 0.133333 & 0.433333 & 7e-06 \tabularnewline
[80000,1e+05[ & 90000 & 12 & 0.1 & 0.533333 & 5e-06 \tabularnewline
[1e+05,120000[ & 110000 & 11 & 0.091667 & 0.625 & 5e-06 \tabularnewline
[120000,140000[ & 130000 & 11 & 0.091667 & 0.716667 & 5e-06 \tabularnewline
[140000,160000[ & 150000 & 4 & 0.033333 & 0.75 & 2e-06 \tabularnewline
[160000,180000[ & 170000 & 10 & 0.083333 & 0.833333 & 4e-06 \tabularnewline
[180000,2e+05[ & 190000 & 10 & 0.083333 & 0.916667 & 4e-06 \tabularnewline
[2e+05,220000[ & 210000 & 5 & 0.041667 & 0.958333 & 2e-06 \tabularnewline
[220000,240000] & 230000 & 5 & 0.041667 & 1 & 2e-06 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=123472&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][20000,40000[[/C][C]30000[/C][C]16[/C][C]0.133333[/C][C]0.133333[/C][C]7e-06[/C][/ROW]
[ROW][C][40000,60000[[/C][C]50000[/C][C]20[/C][C]0.166667[/C][C]0.3[/C][C]8e-06[/C][/ROW]
[ROW][C][60000,80000[[/C][C]70000[/C][C]16[/C][C]0.133333[/C][C]0.433333[/C][C]7e-06[/C][/ROW]
[ROW][C][80000,1e+05[[/C][C]90000[/C][C]12[/C][C]0.1[/C][C]0.533333[/C][C]5e-06[/C][/ROW]
[ROW][C][1e+05,120000[[/C][C]110000[/C][C]11[/C][C]0.091667[/C][C]0.625[/C][C]5e-06[/C][/ROW]
[ROW][C][120000,140000[[/C][C]130000[/C][C]11[/C][C]0.091667[/C][C]0.716667[/C][C]5e-06[/C][/ROW]
[ROW][C][140000,160000[[/C][C]150000[/C][C]4[/C][C]0.033333[/C][C]0.75[/C][C]2e-06[/C][/ROW]
[ROW][C][160000,180000[[/C][C]170000[/C][C]10[/C][C]0.083333[/C][C]0.833333[/C][C]4e-06[/C][/ROW]
[ROW][C][180000,2e+05[[/C][C]190000[/C][C]10[/C][C]0.083333[/C][C]0.916667[/C][C]4e-06[/C][/ROW]
[ROW][C][2e+05,220000[[/C][C]210000[/C][C]5[/C][C]0.041667[/C][C]0.958333[/C][C]2e-06[/C][/ROW]
[ROW][C][220000,240000][/C][C]230000[/C][C]5[/C][C]0.041667[/C][C]1[/C][C]2e-06[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=123472&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=123472&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
[20000,40000[30000160.1333330.1333337e-06
[40000,60000[50000200.1666670.38e-06
[60000,80000[70000160.1333330.4333337e-06
[80000,1e+05[90000120.10.5333335e-06
[1e+05,120000[110000110.0916670.6255e-06
[120000,140000[130000110.0916670.7166675e-06
[140000,160000[15000040.0333330.752e-06
[160000,180000[170000100.0833330.8333334e-06
[180000,2e+05[190000100.0833330.9166674e-06
[2e+05,220000[21000050.0416670.9583332e-06
[220000,240000]23000050.04166712e-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')
}