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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 computationSun, 18 Oct 2009 12:47:18 -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/2009/Oct/18/t125589170148ke0r3qd3z2uoj.htm/, Retrieved Mon, 29 Apr 2024 15:06:51 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=47457, Retrieved Mon, 29 Apr 2024 15:06:51 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact120

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Bivariate Data Series] [Bivariate dataset] [2008-01-05 23:51:08] [74be16979710d4c4e7c6647856088456]
F RMPD  [Univariate Explorative Data Analysis] [Colombia Coffee] [2008-01-07 14:21:11] [74be16979710d4c4e7c6647856088456]
F RMPD    [Univariate Data Series] [] [2009-10-14 08:30:28] [74be16979710d4c4e7c6647856088456]
- RMPD        [Histogram] [WS3_Part 2 Histogram] [2009-10-18 18:47:18] [7a6d96edf94be87996de99db5f42363b] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
-14.22222222
4.666666667
-1.375
-5.208333333
-9.055555556
-2.441860465
-2.95
-2.780487805
-5.9
-7.208333333
-6.642857143
-11.1875
-35.66666667
19.4
19.375
38.5
-3.5
-1.6
2.333333333
-3.5
9.5
3.5
4.1
3.882352941
5.935483871
5.121212121
2.967741935
-1.228571429
-0.983333333
-1.350877193
-1.14893617
-0.547619048
-1.333333333
0.522727273
-2.08
16.66666667
9
7.578947368
-5.571428571
-4.111111111
-3.823529412
-0.290322581
1.952380952
-35
-10.16666667
-0.657894737
1.1
2.075757576
2.320754717
1.763157895
0.468085106
0.257575758
-1.636363636
-1.043478261
-0.483333333
-0.5
-0.625
-1.962962963
-2.366666667
-1.951219512
-2.225
-2.851851852
-0.423076923
1.290322581
2.181818182
3.633333333
6.5
11.46153846
13.4
8.307692308
3.4375
2.111111111
3.272727273
7.6
4.25
5.5
1
-1.307692308
4.363636364
2.25
1.8
1.483606557
1.24137931
0.98125
0.910179641
0.926380368
1.059171598

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 3 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=47457&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=47457&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=47457&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 time3 seconds
R Server'George Udny Yule' @ 72.249.76.132






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[-40,-30[-3520.0229890.0229890.002299
[-30,-20[-25000.0229890
[-20,-10[-1530.0344830.0574710.003448
[-10,0[-5360.4137930.4712640.041379
[0,10[5400.459770.9310340.045977
[10,20[1550.0574710.9885060.005747
[20,30[25000.9885060
[30,40]3510.01149410.001149

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[-40,-30[ & -35 & 2 & 0.022989 & 0.022989 & 0.002299 \tabularnewline
[-30,-20[ & -25 & 0 & 0 & 0.022989 & 0 \tabularnewline
[-20,-10[ & -15 & 3 & 0.034483 & 0.057471 & 0.003448 \tabularnewline
[-10,0[ & -5 & 36 & 0.413793 & 0.471264 & 0.041379 \tabularnewline
[0,10[ & 5 & 40 & 0.45977 & 0.931034 & 0.045977 \tabularnewline
[10,20[ & 15 & 5 & 0.057471 & 0.988506 & 0.005747 \tabularnewline
[20,30[ & 25 & 0 & 0 & 0.988506 & 0 \tabularnewline
[30,40] & 35 & 1 & 0.011494 & 1 & 0.001149 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=47457&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][-40,-30[[/C][C]-35[/C][C]2[/C][C]0.022989[/C][C]0.022989[/C][C]0.002299[/C][/ROW]
[ROW][C][-30,-20[[/C][C]-25[/C][C]0[/C][C]0[/C][C]0.022989[/C][C]0[/C][/ROW]
[ROW][C][-20,-10[[/C][C]-15[/C][C]3[/C][C]0.034483[/C][C]0.057471[/C][C]0.003448[/C][/ROW]
[ROW][C][-10,0[[/C][C]-5[/C][C]36[/C][C]0.413793[/C][C]0.471264[/C][C]0.041379[/C][/ROW]
[ROW][C][0,10[[/C][C]5[/C][C]40[/C][C]0.45977[/C][C]0.931034[/C][C]0.045977[/C][/ROW]
[ROW][C][10,20[[/C][C]15[/C][C]5[/C][C]0.057471[/C][C]0.988506[/C][C]0.005747[/C][/ROW]
[ROW][C][20,30[[/C][C]25[/C][C]0[/C][C]0[/C][C]0.988506[/C][C]0[/C][/ROW]
[ROW][C][30,40][/C][C]35[/C][C]1[/C][C]0.011494[/C][C]1[/C][C]0.001149[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=47457&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=47457&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
[-40,-30[-3520.0229890.0229890.002299
[-30,-20[-25000.0229890
[-20,-10[-1530.0344830.0574710.003448
[-10,0[-5360.4137930.4712640.041379
[0,10[5400.459770.9310340.045977
[10,20[1550.0574710.9885060.005747
[20,30[25000.9885060
[30,40]3510.01149410.001149


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')