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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, 01 Dec 2011 16:59:48 -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/01/t13227776089oll17u58zs8bwi.htm/, Retrieved Thu, 25 Apr 2024 17:26:04 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=150014, Retrieved Thu, 25 Apr 2024 17:26:04 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact83

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [] [2011-12-01 21:59:48] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
76 
64 
65 
66 
63 
59 
74 
85 
71 
80 
82 
69 
62 
82 
89 
60 
54 
67 
75 
76 
66 
86 
91 
90 
80 
66 
75 
82 
87 
91 
90 
89 
89 
80 
77 
63 
70 
92 
89 
74 
78 
85 
87 
90 
86 
84 
89 
91 
95 
81 
82 
86 
78 
76 
79 
90 
91 
92 
78 
77 
82 
75 
74 
82 
83 
85 
85 
88 
95 
93 
92 
80 
82 
79 
86 
82 
85 
74 
87 
78 
77 
77 
80 
81 
80 
72 
75 
87 
83 
85 
87 
91 
93 
91 
93 
83 
79 
89 
90 
91 
83 
85 
84 
89 
81 
81 
79 
84 
81 
72 
63 
69 
73 
89 
90 
88 
79 
79 
81 
87 
91 
79 
77

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

\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
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=150014&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]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=150014&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=150014&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






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[50,55[52.510.008130.008130.001626
[55,60[57.510.008130.016260.001626
[60,65[62.560.048780.0650410.009756
[65,70[67.570.0569110.1219510.011382
[70,75[72.590.0731710.1951220.014634
[75,80[77.5230.1869920.3821140.037398
[80,85[82.5270.2195120.6016260.043902
[85,90[87.5270.2195120.8211380.043902
[90,95]92.5220.17886210.035772

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[50,55[ & 52.5 & 1 & 0.00813 & 0.00813 & 0.001626 \tabularnewline
[55,60[ & 57.5 & 1 & 0.00813 & 0.01626 & 0.001626 \tabularnewline
[60,65[ & 62.5 & 6 & 0.04878 & 0.065041 & 0.009756 \tabularnewline
[65,70[ & 67.5 & 7 & 0.056911 & 0.121951 & 0.011382 \tabularnewline
[70,75[ & 72.5 & 9 & 0.073171 & 0.195122 & 0.014634 \tabularnewline
[75,80[ & 77.5 & 23 & 0.186992 & 0.382114 & 0.037398 \tabularnewline
[80,85[ & 82.5 & 27 & 0.219512 & 0.601626 & 0.043902 \tabularnewline
[85,90[ & 87.5 & 27 & 0.219512 & 0.821138 & 0.043902 \tabularnewline
[90,95] & 92.5 & 22 & 0.178862 & 1 & 0.035772 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=150014&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][50,55[[/C][C]52.5[/C][C]1[/C][C]0.00813[/C][C]0.00813[/C][C]0.001626[/C][/ROW]
[ROW][C][55,60[[/C][C]57.5[/C][C]1[/C][C]0.00813[/C][C]0.01626[/C][C]0.001626[/C][/ROW]
[ROW][C][60,65[[/C][C]62.5[/C][C]6[/C][C]0.04878[/C][C]0.065041[/C][C]0.009756[/C][/ROW]
[ROW][C][65,70[[/C][C]67.5[/C][C]7[/C][C]0.056911[/C][C]0.121951[/C][C]0.011382[/C][/ROW]
[ROW][C][70,75[[/C][C]72.5[/C][C]9[/C][C]0.073171[/C][C]0.195122[/C][C]0.014634[/C][/ROW]
[ROW][C][75,80[[/C][C]77.5[/C][C]23[/C][C]0.186992[/C][C]0.382114[/C][C]0.037398[/C][/ROW]
[ROW][C][80,85[[/C][C]82.5[/C][C]27[/C][C]0.219512[/C][C]0.601626[/C][C]0.043902[/C][/ROW]
[ROW][C][85,90[[/C][C]87.5[/C][C]27[/C][C]0.219512[/C][C]0.821138[/C][C]0.043902[/C][/ROW]
[ROW][C][90,95][/C][C]92.5[/C][C]22[/C][C]0.178862[/C][C]1[/C][C]0.035772[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=150014&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=150014&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
[50,55[52.510.008130.008130.001626
[55,60[57.510.008130.016260.001626
[60,65[62.560.048780.0650410.009756
[65,70[67.570.0569110.1219510.011382
[70,75[72.590.0731710.1951220.014634
[75,80[77.5230.1869920.3821140.037398
[80,85[82.5270.2195120.6016260.043902
[85,90[87.5270.2195120.8211380.043902
[90,95]92.5220.17886210.035772


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par2 = red ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = ; par2 = red ; 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')
}