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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 computationTue, 15 Nov 2011 13:57:05 -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/Nov/15/t1321383444kpo9w2jev8uifv1.htm/, Retrieved Fri, 26 Apr 2024 18:41:52 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=143354, Retrieved Fri, 26 Apr 2024 18:41:52 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact67

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Mini-tutorial] [2011-11-15 18:57:05] [3e64eea457df40fcb7af8f28e1ee6256] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
10
12
34
33
35
38
50
43
32
21
23
34
43
27
13
23
34
28
33
48
21
37
28
50
34
36
43
36
21
45
39
21
26
56
45
33
44
20
46
33
29
49
42
21
36
27
41
20
33
37
33
50
41
30
33
21
40
41
33
38

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'AstonUniversity' @ aston.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 & 'AstonUniversity' @ aston.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=143354&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]'AstonUniversity' @ aston.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=143354&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=143354&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'AstonUniversity' @ aston.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[10,15[12.530.050.050.01
[15,20[17.5000.050
[20,25[22.5100.1666670.2166670.033333
[25,30[27.560.10.3166670.02
[30,35[32.5140.2333330.550.046667
[35,40[37.590.150.70.03
[40,45[42.590.150.850.03
[45,50[47.550.0833330.9333330.016667
[50,55[52.530.050.9833330.01
[55,60]57.510.01666710.003333

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[10,15[ & 12.5 & 3 & 0.05 & 0.05 & 0.01 \tabularnewline
[15,20[ & 17.5 & 0 & 0 & 0.05 & 0 \tabularnewline
[20,25[ & 22.5 & 10 & 0.166667 & 0.216667 & 0.033333 \tabularnewline
[25,30[ & 27.5 & 6 & 0.1 & 0.316667 & 0.02 \tabularnewline
[30,35[ & 32.5 & 14 & 0.233333 & 0.55 & 0.046667 \tabularnewline
[35,40[ & 37.5 & 9 & 0.15 & 0.7 & 0.03 \tabularnewline
[40,45[ & 42.5 & 9 & 0.15 & 0.85 & 0.03 \tabularnewline
[45,50[ & 47.5 & 5 & 0.083333 & 0.933333 & 0.016667 \tabularnewline
[50,55[ & 52.5 & 3 & 0.05 & 0.983333 & 0.01 \tabularnewline
[55,60] & 57.5 & 1 & 0.016667 & 1 & 0.003333 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=143354&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][10,15[[/C][C]12.5[/C][C]3[/C][C]0.05[/C][C]0.05[/C][C]0.01[/C][/ROW]
[ROW][C][15,20[[/C][C]17.5[/C][C]0[/C][C]0[/C][C]0.05[/C][C]0[/C][/ROW]
[ROW][C][20,25[[/C][C]22.5[/C][C]10[/C][C]0.166667[/C][C]0.216667[/C][C]0.033333[/C][/ROW]
[ROW][C][25,30[[/C][C]27.5[/C][C]6[/C][C]0.1[/C][C]0.316667[/C][C]0.02[/C][/ROW]
[ROW][C][30,35[[/C][C]32.5[/C][C]14[/C][C]0.233333[/C][C]0.55[/C][C]0.046667[/C][/ROW]
[ROW][C][35,40[[/C][C]37.5[/C][C]9[/C][C]0.15[/C][C]0.7[/C][C]0.03[/C][/ROW]
[ROW][C][40,45[[/C][C]42.5[/C][C]9[/C][C]0.15[/C][C]0.85[/C][C]0.03[/C][/ROW]
[ROW][C][45,50[[/C][C]47.5[/C][C]5[/C][C]0.083333[/C][C]0.933333[/C][C]0.016667[/C][/ROW]
[ROW][C][50,55[[/C][C]52.5[/C][C]3[/C][C]0.05[/C][C]0.983333[/C][C]0.01[/C][/ROW]
[ROW][C][55,60][/C][C]57.5[/C][C]1[/C][C]0.016667[/C][C]1[/C][C]0.003333[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=143354&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=143354&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
[10,15[12.530.050.050.01
[15,20[17.5000.050
[20,25[22.5100.1666670.2166670.033333
[25,30[27.560.10.3166670.02
[30,35[32.5140.2333330.550.046667
[35,40[37.590.150.70.03
[40,45[42.590.150.850.03
[45,50[47.550.0833330.9333330.016667
[50,55[52.530.050.9833330.01
[55,60]57.510.01666710.003333


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')
}