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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, 17 Aug 2010 08:41:54 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Aug/17/t1282034648pzf57rvqysyvz8r.htm/, Retrieved Sat, 27 Apr 2024 09:51:52 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=79061, Retrieved Sat, 27 Apr 2024 09:51:52 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsMagali De Reu
Estimated Impact154

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [tijdreeks 2 stap 2] [2010-08-17 08:41:54] [0d1085ed835696cdd537ad5fa07600ec] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
120
119
118
116
114
113
114
116
117
117
118
120
123
125
120
116
111
108
113
112
126
124
124
118
119
122
114
108
104
101
107
104
123
125
134
131
127
124
123
117
112
118
123
124
144
148
152
154
146
132
136
128
120
124
126
121
140
142
142
139
131
117
122
112
98
103
108
102
126
129
126
126
112
99
106
104
90
98
99
91
118
115
119
123

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time5 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 5 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=79061&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]5 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=79061&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=79061&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 time5 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[90,100[9560.0714290.0714290.007143
[100,110[105110.1309520.2023810.013095
[110,120[115260.3095240.5119050.030952
[120,130[125270.3214290.8333330.032143
[130,140[13560.0714290.9047620.007143
[140,150[14560.0714290.976190.007143
[150,160]15520.0238110.002381

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[90,100[ & 95 & 6 & 0.071429 & 0.071429 & 0.007143 \tabularnewline
[100,110[ & 105 & 11 & 0.130952 & 0.202381 & 0.013095 \tabularnewline
[110,120[ & 115 & 26 & 0.309524 & 0.511905 & 0.030952 \tabularnewline
[120,130[ & 125 & 27 & 0.321429 & 0.833333 & 0.032143 \tabularnewline
[130,140[ & 135 & 6 & 0.071429 & 0.904762 & 0.007143 \tabularnewline
[140,150[ & 145 & 6 & 0.071429 & 0.97619 & 0.007143 \tabularnewline
[150,160] & 155 & 2 & 0.02381 & 1 & 0.002381 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=79061&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][90,100[[/C][C]95[/C][C]6[/C][C]0.071429[/C][C]0.071429[/C][C]0.007143[/C][/ROW]
[ROW][C][100,110[[/C][C]105[/C][C]11[/C][C]0.130952[/C][C]0.202381[/C][C]0.013095[/C][/ROW]
[ROW][C][110,120[[/C][C]115[/C][C]26[/C][C]0.309524[/C][C]0.511905[/C][C]0.030952[/C][/ROW]
[ROW][C][120,130[[/C][C]125[/C][C]27[/C][C]0.321429[/C][C]0.833333[/C][C]0.032143[/C][/ROW]
[ROW][C][130,140[[/C][C]135[/C][C]6[/C][C]0.071429[/C][C]0.904762[/C][C]0.007143[/C][/ROW]
[ROW][C][140,150[[/C][C]145[/C][C]6[/C][C]0.071429[/C][C]0.97619[/C][C]0.007143[/C][/ROW]
[ROW][C][150,160][/C][C]155[/C][C]2[/C][C]0.02381[/C][C]1[/C][C]0.002381[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=79061&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=79061&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
[90,100[9560.0714290.0714290.007143
[100,110[105110.1309520.2023810.013095
[110,120[115260.3095240.5119050.030952
[120,130[125270.3214290.8333330.032143
[130,140[13560.0714290.9047620.007143
[140,150[14560.0714290.976190.007143
[150,160]15520.0238110.002381


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.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)
}
dev.off()
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')