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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 computationSun, 17 Jan 2010 16:55:03 -0700
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/Jan/18/t12637725689sa59smn6077ohu.htm/, Retrieved Sun, 05 May 2024 01:21:09 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=72268, Retrieved Sun, 05 May 2024 01:21:09 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact196

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Histograma ocde] [2010-01-17 23:55:03] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
527	2.3	527	3.2	527	2.7	0	3.8
511	3.9	515	4.2	507	4.9	8	4.9
510	2.5	511	3.3	510	3.2	1	4.1
534	2.0	536	2.5	532	2.1	4	2.2
513	3.5	515	4.2	510	4.8	5	5.6
496	3.1	500	3.6	491	3.4	9	3.2
563	2.0	562	2.6	565	2.4	-3	2.9
495	3.4	497	4.3	494	3.6	3	4.0
516	3.8	519	4.6	512	3.8	7	3.7
473	3.2	468	4.5	479	3.4	-11	4.7
504	2.7	507	3.3	501	3.5	6	4.2
491	1.6	488	2.6	494	2.1	-6	3.4
508	3.2	508	4.3	509	3.3	0	4.3
475	2.0	477	2.8	474	2.5	3	3.5
531	3.4	533	4.9	530	5.1	3	7.4
522	3.4	521	4.8	523	3.9	-2	5.5
486	1.1	491	1.8	482	1.8	9	2.9
410	2.7	413	3.2	406	2.6	7	2.2
525	2.7	528	3.2	521	3.1	7	3.0
530	2.7	528	3.9	532	3.6	-4	5.2
487	3.1	484	3.8	489	3.2	-4	3.4
498	2.3	500	2.7	496	2.6	3	2.5
474	3.0	477	3.7	472	3.2	5	3.3
488	2.6	491	3.9	485	3.0	6	4.7
488	2.6	491	2.9	486	2.7	4	2.4
503	2.4	504	2.7	503	2.9	1	3.0
512	3.2	514	3.3	509	3.6	6	2.7
424	3.8	418	4.6	430	4.1	-12	4.1
515	2.3	520	3.0	510	2.8	10	3.4
489	4.2	489	5.1	489	4.0	1	3.5
500	0.5	501	0.7	499	0.6	2	0.7
491	1.2	492	1.4	490	1.3	3	1.3
390	2.8	395	3.2	386	2.9	9	2.3
438	4.3	448	5.4	426	4.4	22	4.8
531	2.5	530	3.1	533	2.9	-4	3.1
454	3.7	456	5.6	452	4.2	3	6.5
479	3.7	481	4.1	478	3.7	3	2.7
519	1.1	515	2.0	523	1.9	-8	3.2

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'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=72268&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=72268&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=72268&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'Gwilym Jenkins' @ 72.249.127.135


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')