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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 computationSat, 04 Oct 2008 08:31:26 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Oct/04/t1223130729sydzf2mnwkmjfsg.htm/, Retrieved Sun, 19 May 2024 16:11:14 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=14985, Retrieved Sun, 19 May 2024 16:11:14 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact199

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] [Opgave 1 - Stap 1...] [2008-10-02 14:13:52] [0719e005425fff9ac07c7fc0611f71c6]
- RMP     [Histogram] [Opgave 2 -Oef.2 -...] [2008-10-04 14:31:26] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1.27
1.23
1.27
1.22
1.29
1.36
1.44
1.62
1.57
1.22
1.14
1.14
1.17
1.16
1.14
1.15
1.16
1.21
1.22
1.22
1.17
0.95
1
1.01
1.01
1
1
1
1.06
1.22
1.24
1.34
1.3
1.05
1
1
1.01
1.02
1.06
1.09
1.09
1.15
1.25
1.37
1.51
1.35
1.32
1.3
1.39
1.4
1.39
1.42
1.44
1.44
1.45
1.39
1.48
1.32
1.29
1.31
1.27
1.38
1.38
1.45
1.5
1.63
1.73
1.84
1.75
1.34
1.36
1.33
1.37
1.39
1.4
1.4
1.43
1.52
1.54
1.85
1.83
1.29
1.2
1.2
1.21
1.21
1.19
1.18
1.17
1.22
1.25
1.3
1.33
1.18
1.18
1.19

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'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 & 1 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=14985&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=14985&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=14985&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[0.9,1[0.9510.0104170.0104170.104167
[1,1.1[1.05150.156250.1666671.5625
[1.1,1.2[1.15150.156250.3229171.5625
[1.2,1.3[1.25210.218750.5416672.1875
[1.3,1.4[1.35210.218750.7604172.1875
[1.4,1.5[1.45110.1145830.8751.145833
[1.5,1.6[1.5550.0520830.9270830.520833
[1.6,1.7[1.6520.0208330.9479170.208333
[1.7,1.8[1.7520.0208330.968750.208333
[1.8,1.9]1.8530.0312510.3125

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0.9,1[ & 0.95 & 1 & 0.010417 & 0.010417 & 0.104167 \tabularnewline
[1,1.1[ & 1.05 & 15 & 0.15625 & 0.166667 & 1.5625 \tabularnewline
[1.1,1.2[ & 1.15 & 15 & 0.15625 & 0.322917 & 1.5625 \tabularnewline
[1.2,1.3[ & 1.25 & 21 & 0.21875 & 0.541667 & 2.1875 \tabularnewline
[1.3,1.4[ & 1.35 & 21 & 0.21875 & 0.760417 & 2.1875 \tabularnewline
[1.4,1.5[ & 1.45 & 11 & 0.114583 & 0.875 & 1.145833 \tabularnewline
[1.5,1.6[ & 1.55 & 5 & 0.052083 & 0.927083 & 0.520833 \tabularnewline
[1.6,1.7[ & 1.65 & 2 & 0.020833 & 0.947917 & 0.208333 \tabularnewline
[1.7,1.8[ & 1.75 & 2 & 0.020833 & 0.96875 & 0.208333 \tabularnewline
[1.8,1.9] & 1.85 & 3 & 0.03125 & 1 & 0.3125 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=14985&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][0.9,1[[/C][C]0.95[/C][C]1[/C][C]0.010417[/C][C]0.010417[/C][C]0.104167[/C][/ROW]
[ROW][C][1,1.1[[/C][C]1.05[/C][C]15[/C][C]0.15625[/C][C]0.166667[/C][C]1.5625[/C][/ROW]
[ROW][C][1.1,1.2[[/C][C]1.15[/C][C]15[/C][C]0.15625[/C][C]0.322917[/C][C]1.5625[/C][/ROW]
[ROW][C][1.2,1.3[[/C][C]1.25[/C][C]21[/C][C]0.21875[/C][C]0.541667[/C][C]2.1875[/C][/ROW]
[ROW][C][1.3,1.4[[/C][C]1.35[/C][C]21[/C][C]0.21875[/C][C]0.760417[/C][C]2.1875[/C][/ROW]
[ROW][C][1.4,1.5[[/C][C]1.45[/C][C]11[/C][C]0.114583[/C][C]0.875[/C][C]1.145833[/C][/ROW]
[ROW][C][1.5,1.6[[/C][C]1.55[/C][C]5[/C][C]0.052083[/C][C]0.927083[/C][C]0.520833[/C][/ROW]
[ROW][C][1.6,1.7[[/C][C]1.65[/C][C]2[/C][C]0.020833[/C][C]0.947917[/C][C]0.208333[/C][/ROW]
[ROW][C][1.7,1.8[[/C][C]1.75[/C][C]2[/C][C]0.020833[/C][C]0.96875[/C][C]0.208333[/C][/ROW]
[ROW][C][1.8,1.9][/C][C]1.85[/C][C]3[/C][C]0.03125[/C][C]1[/C][C]0.3125[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=14985&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=14985&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
[0.9,1[0.9510.0104170.0104170.104167
[1,1.1[1.05150.156250.1666671.5625
[1.1,1.2[1.15150.156250.3229171.5625
[1.2,1.3[1.25210.218750.5416672.1875
[1.3,1.4[1.35210.218750.7604172.1875
[1.4,1.5[1.45110.1145830.8751.145833
[1.5,1.6[1.5550.0520830.9270830.520833
[1.6,1.7[1.6520.0208330.9479170.208333
[1.7,1.8[1.7520.0208330.968750.208333
[1.8,1.9]1.8530.0312510.3125


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')