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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, 14 Dec 2014 14:10:51 +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/2014/Dec/14/t1418566260lqu3ypx8uibtafz.htm/, Retrieved Thu, 16 May 2024 15:09:20 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=267598, Retrieved Thu, 16 May 2024 15:09:20 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact72

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [] [2014-12-14 14:10:51] [624214a256768d6065ce8a528542dcc5] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1.6506
1.15551
1.55482
-3.25307
-4.06148
1.95485
4.42346
2.30229
1.02699
-2.82034
0.714873
-3.92232
0.24403
1.24926
-3.92459
0.43454
0.83353
-1.21774
-1.04541
-0.769104
-4.09749
3.25311
0.465475
2.80024
1.33638
0.0567384
5.65772
2.83515
-0.797976
1.29735
-2.27458
0.853744
-1.58139
-0.917095
0.420834
-0.476715
-0.0341333
1.90542
-1.52891
1.79671
-5.37515
0.547101
3.20515
0.281815
2.07064
0.924129
0.81689
-3.00303
2.28106
1.35914
1.22084
-3.90529
0.0603386
1.48272
2.63826
-0.610394
-4.5139
2.74773
-3.18339
2.26105
-1.09306
1.7668
-2.81453
5.33161
-1.17033
-1.88937
0.321504
1.95976
4.1192
1.24118
1.77521
0.584224
-1.76636
3.41311
2.14225
2.31872
1.30075
2.5884
-0.483122
-2.69616
-0.537822
2.76245
0.405523
-6.00306
-0.206414
1.25558
0.820094
0.677707
-2.31622
2.26417
2.37204
-5.22957
-0.903783
-1.96104
-3.15728
-1.54407
-3.16412
0.628513
2.4166
-2.87037
0.24501
-0.0218313
-2.72109
-1.21738
2.84222
-2.19148
2.72511
-5.77146
-4.35028
-1.66352
0.942208
-0.283203
NA

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time6 seconds
R Server'Sir Maurice George Kendall' @ kendall.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 & 6 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267598&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]6 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267598&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267598&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 time6 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[-8,-6[-710.008850.008850.004464
[-6,-4[-570.0619470.0707960.03125
[-4,-2[-3160.1415930.2123890.071429
[-2,0[-1240.2123890.4247790.107143
[0,2[1400.3539820.7787610.178571
[2,4[3200.1769910.9557520.089286
[4,6]540.0353980.991150.017857

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[-8,-6[ & -7 & 1 & 0.00885 & 0.00885 & 0.004464 \tabularnewline
[-6,-4[ & -5 & 7 & 0.061947 & 0.070796 & 0.03125 \tabularnewline
[-4,-2[ & -3 & 16 & 0.141593 & 0.212389 & 0.071429 \tabularnewline
[-2,0[ & -1 & 24 & 0.212389 & 0.424779 & 0.107143 \tabularnewline
[0,2[ & 1 & 40 & 0.353982 & 0.778761 & 0.178571 \tabularnewline
[2,4[ & 3 & 20 & 0.176991 & 0.955752 & 0.089286 \tabularnewline
[4,6] & 5 & 4 & 0.035398 & 0.99115 & 0.017857 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267598&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][-8,-6[[/C][C]-7[/C][C]1[/C][C]0.00885[/C][C]0.00885[/C][C]0.004464[/C][/ROW]
[ROW][C][-6,-4[[/C][C]-5[/C][C]7[/C][C]0.061947[/C][C]0.070796[/C][C]0.03125[/C][/ROW]
[ROW][C][-4,-2[[/C][C]-3[/C][C]16[/C][C]0.141593[/C][C]0.212389[/C][C]0.071429[/C][/ROW]
[ROW][C][-2,0[[/C][C]-1[/C][C]24[/C][C]0.212389[/C][C]0.424779[/C][C]0.107143[/C][/ROW]
[ROW][C][0,2[[/C][C]1[/C][C]40[/C][C]0.353982[/C][C]0.778761[/C][C]0.178571[/C][/ROW]
[ROW][C][2,4[[/C][C]3[/C][C]20[/C][C]0.176991[/C][C]0.955752[/C][C]0.089286[/C][/ROW]
[ROW][C][4,6][/C][C]5[/C][C]4[/C][C]0.035398[/C][C]0.99115[/C][C]0.017857[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267598&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267598&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
[-8,-6[-710.008850.008850.004464
[-6,-4[-570.0619470.0707960.03125
[-4,-2[-3160.1415930.2123890.071429
[-2,0[-1240.2123890.4247790.107143
[0,2[1400.3539820.7787610.178571
[2,4[3200.1769910.9557520.089286
[4,6]540.0353980.991150.017857


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = two.sided ; par2 = 0.95 ; par3 = 20 ;
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')
}