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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationFri, 21 Dec 2012 07:53:54 -0500
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/Dec/21/t135609481852y8ex2qtxvsix1.htm/, Retrieved Thu, 25 Apr 2024 15:16:52 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=203589, Retrieved Thu, 25 Apr 2024 15:16:52 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact57

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Histogram] [2012-12-21 12:53:54] [839083d0864cf4188a9536b50f9ae712] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
26
20
19

20
25

22
26
22


19
24
26

13


22

21
7

17
25
25
19

23

22
21



18


22
18
23
20


15


21

18
19
22
16

18
20
24


24
18
21

17



22
16
21


24
24
16
16




18

20


24
17
19
20
15

22
23
16
19

19


21

24
22

18

24
24
22
23
22
20
18
25

16
20

15
19
19
16
17
28

25
20


16




23
21


23
18
20
9

25
20




21
22
27



18
16
22
20

20

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'George Udny Yule' @ yule.wessa.net
R Framework error message
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.

\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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
R Framework error message & 
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=203589&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[ROW][C]R Framework error message[/C][C]
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=203589&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=203589&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'George Udny Yule' @ yule.wessa.net
R Framework error message
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[6,8[710.0102040.0102040.005102
[8,10[910.0102040.0204080.005102
[10,12[11000.0204080
[12,14[1310.0102040.0306120.005102
[14,16[1530.0306120.0612240.015306
[16,18[17130.1326530.1938780.066327
[18,20[19190.1938780.3877550.096939
[20,22[21210.2142860.6020410.107143
[22,24[23190.1938780.7959180.096939
[24,26[25150.1530610.948980.076531
[26,28]2750.0510210.02551

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[6,8[ & 7 & 1 & 0.010204 & 0.010204 & 0.005102 \tabularnewline
[8,10[ & 9 & 1 & 0.010204 & 0.020408 & 0.005102 \tabularnewline
[10,12[ & 11 & 0 & 0 & 0.020408 & 0 \tabularnewline
[12,14[ & 13 & 1 & 0.010204 & 0.030612 & 0.005102 \tabularnewline
[14,16[ & 15 & 3 & 0.030612 & 0.061224 & 0.015306 \tabularnewline
[16,18[ & 17 & 13 & 0.132653 & 0.193878 & 0.066327 \tabularnewline
[18,20[ & 19 & 19 & 0.193878 & 0.387755 & 0.096939 \tabularnewline
[20,22[ & 21 & 21 & 0.214286 & 0.602041 & 0.107143 \tabularnewline
[22,24[ & 23 & 19 & 0.193878 & 0.795918 & 0.096939 \tabularnewline
[24,26[ & 25 & 15 & 0.153061 & 0.94898 & 0.076531 \tabularnewline
[26,28] & 27 & 5 & 0.05102 & 1 & 0.02551 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=203589&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][6,8[[/C][C]7[/C][C]1[/C][C]0.010204[/C][C]0.010204[/C][C]0.005102[/C][/ROW]
[ROW][C][8,10[[/C][C]9[/C][C]1[/C][C]0.010204[/C][C]0.020408[/C][C]0.005102[/C][/ROW]
[ROW][C][10,12[[/C][C]11[/C][C]0[/C][C]0[/C][C]0.020408[/C][C]0[/C][/ROW]
[ROW][C][12,14[[/C][C]13[/C][C]1[/C][C]0.010204[/C][C]0.030612[/C][C]0.005102[/C][/ROW]
[ROW][C][14,16[[/C][C]15[/C][C]3[/C][C]0.030612[/C][C]0.061224[/C][C]0.015306[/C][/ROW]
[ROW][C][16,18[[/C][C]17[/C][C]13[/C][C]0.132653[/C][C]0.193878[/C][C]0.066327[/C][/ROW]
[ROW][C][18,20[[/C][C]19[/C][C]19[/C][C]0.193878[/C][C]0.387755[/C][C]0.096939[/C][/ROW]
[ROW][C][20,22[[/C][C]21[/C][C]21[/C][C]0.214286[/C][C]0.602041[/C][C]0.107143[/C][/ROW]
[ROW][C][22,24[[/C][C]23[/C][C]19[/C][C]0.193878[/C][C]0.795918[/C][C]0.096939[/C][/ROW]
[ROW][C][24,26[[/C][C]25[/C][C]15[/C][C]0.153061[/C][C]0.94898[/C][C]0.076531[/C][/ROW]
[ROW][C][26,28][/C][C]27[/C][C]5[/C][C]0.05102[/C][C]1[/C][C]0.02551[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=203589&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=203589&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
[6,8[710.0102040.0102040.005102
[8,10[910.0102040.0204080.005102
[10,12[11000.0204080
[12,14[1310.0102040.0306120.005102
[14,16[1530.0306120.0612240.015306
[16,18[17130.1326530.1938780.066327
[18,20[19190.1938780.3877550.096939
[20,22[21210.2142860.6020410.107143
[22,24[23190.1938780.7959180.096939
[24,26[25150.1530610.948980.076531
[26,28]2750.0510210.02551


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')
}