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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, 02 Dec 2011 03:37:37 -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/2011/Dec/02/t1322815073nzd4406fv3wckca.htm/, Retrieved Mon, 29 Apr 2024 05:36:51 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=150050, Retrieved Mon, 29 Apr 2024 05:36:51 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact110

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [] [2008-12-14 11:54:22] [d2d412c7f4d35ffbf5ee5ee89db327d4]
- RMP     [Histogram] [] [2011-12-02 08:37:37] [87b6e955a128bfb8d1e350b3ce0d281e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
46
62
66
59
58
61
41
27
58
70
49
59
44
36
72
45
56
54
53
35
61
52
47
51
52
63
74
45
51
64
36
30
55
64
39
40
63
45
59
55
40
64
27
28
45
57
45
69
60
56
58
50
51
53
37
22
55
70
62
58
39
49
58
47
42
62
39
40
72
70
54
65

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'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 & 0 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=150050&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=150050&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=150050&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'Herman Ole Andreas Wold' @ wold.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[20,25[22.510.0138890.0138890.002778
[25,30[27.530.0416670.0555560.008333
[30,35[32.510.0138890.0694440.002778
[35,40[37.570.0972220.1666670.019444
[40,45[42.560.0833330.250.016667
[45,50[47.5100.1388890.3888890.027778
[50,55[52.5100.1388890.5277780.027778
[55,60[57.5140.1944440.7222220.038889
[60,65[62.5110.1527780.8750.030556
[65,70[67.530.0416670.9166670.008333
[70,75]72.560.08333310.016667

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[20,25[ & 22.5 & 1 & 0.013889 & 0.013889 & 0.002778 \tabularnewline
[25,30[ & 27.5 & 3 & 0.041667 & 0.055556 & 0.008333 \tabularnewline
[30,35[ & 32.5 & 1 & 0.013889 & 0.069444 & 0.002778 \tabularnewline
[35,40[ & 37.5 & 7 & 0.097222 & 0.166667 & 0.019444 \tabularnewline
[40,45[ & 42.5 & 6 & 0.083333 & 0.25 & 0.016667 \tabularnewline
[45,50[ & 47.5 & 10 & 0.138889 & 0.388889 & 0.027778 \tabularnewline
[50,55[ & 52.5 & 10 & 0.138889 & 0.527778 & 0.027778 \tabularnewline
[55,60[ & 57.5 & 14 & 0.194444 & 0.722222 & 0.038889 \tabularnewline
[60,65[ & 62.5 & 11 & 0.152778 & 0.875 & 0.030556 \tabularnewline
[65,70[ & 67.5 & 3 & 0.041667 & 0.916667 & 0.008333 \tabularnewline
[70,75] & 72.5 & 6 & 0.083333 & 1 & 0.016667 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=150050&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][20,25[[/C][C]22.5[/C][C]1[/C][C]0.013889[/C][C]0.013889[/C][C]0.002778[/C][/ROW]
[ROW][C][25,30[[/C][C]27.5[/C][C]3[/C][C]0.041667[/C][C]0.055556[/C][C]0.008333[/C][/ROW]
[ROW][C][30,35[[/C][C]32.5[/C][C]1[/C][C]0.013889[/C][C]0.069444[/C][C]0.002778[/C][/ROW]
[ROW][C][35,40[[/C][C]37.5[/C][C]7[/C][C]0.097222[/C][C]0.166667[/C][C]0.019444[/C][/ROW]
[ROW][C][40,45[[/C][C]42.5[/C][C]6[/C][C]0.083333[/C][C]0.25[/C][C]0.016667[/C][/ROW]
[ROW][C][45,50[[/C][C]47.5[/C][C]10[/C][C]0.138889[/C][C]0.388889[/C][C]0.027778[/C][/ROW]
[ROW][C][50,55[[/C][C]52.5[/C][C]10[/C][C]0.138889[/C][C]0.527778[/C][C]0.027778[/C][/ROW]
[ROW][C][55,60[[/C][C]57.5[/C][C]14[/C][C]0.194444[/C][C]0.722222[/C][C]0.038889[/C][/ROW]
[ROW][C][60,65[[/C][C]62.5[/C][C]11[/C][C]0.152778[/C][C]0.875[/C][C]0.030556[/C][/ROW]
[ROW][C][65,70[[/C][C]67.5[/C][C]3[/C][C]0.041667[/C][C]0.916667[/C][C]0.008333[/C][/ROW]
[ROW][C][70,75][/C][C]72.5[/C][C]6[/C][C]0.083333[/C][C]1[/C][C]0.016667[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=150050&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=150050&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
[20,25[22.510.0138890.0138890.002778
[25,30[27.530.0416670.0555560.008333
[30,35[32.510.0138890.0694440.002778
[35,40[37.570.0972220.1666670.019444
[40,45[42.560.0833330.250.016667
[45,50[47.5100.1388890.3888890.027778
[50,55[52.5100.1388890.5277780.027778
[55,60[57.5140.1944440.7222220.038889
[60,65[62.5110.1527780.8750.030556
[65,70[67.530.0416670.9166670.008333
[70,75]72.560.08333310.016667


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')
}