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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 computationTue, 21 Oct 2008 01:22:34 -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/21/t12245738353wznl9gmkho5czg.htm/, Retrieved Sun, 19 May 2024 18:48:08 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=18352, Retrieved Sun, 19 May 2024 18:48:08 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsTotaal niet werkende werkzoekenden
Estimated Impact119

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] [Totaal niet werke...] [2008-10-13 17:04:19] [b635de6fc42b001d22cbe6e730fec936]
- RMP   [Central Tendency] [Totaal niet werke...] [2008-10-20 17:41:36] [b635de6fc42b001d22cbe6e730fec936]
- RMP       [Histogram] [Totaal niet werke...] [2008-10-21 07:22:34] [f4b2017b314c03698059f43b95818e67] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
577.992
565.464
547.344
554.788
562.325
560.854
555.332
543.599
536.662
542.722
593.530
610.763
612.613
611.324
594.167
595.454
590.865
589.379
584.428
573.100
567.456
569.028
620.735
628.884
628.232
612.117
595.404
597.141
593.408
590.072
579.799
574.205
572.775
572.942
619.567
625.809
619.916
587.625
565.742
557.274
560.576
548.854
531.673
525.919
511.038
498.662
555.362
564.591
541.657
527.070
509.846
514.258
516.922
507.561
492.622
490.243
469.357
477.580
528.379
533.590

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=18352&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=18352&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18352&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






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[460,480[47020.0333330.0333330.001667
[480,500[49030.050.0833330.0025
[500,520[51050.0833330.1666670.004167
[520,540[53060.10.2666670.005
[540,560[55090.150.4166670.0075
[560,580[570140.2333330.650.011667
[580,600[590110.1833330.8333330.009167
[600,620[61060.10.9333330.005
[620,640]63040.06666710.003333

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[460,480[ & 470 & 2 & 0.033333 & 0.033333 & 0.001667 \tabularnewline
[480,500[ & 490 & 3 & 0.05 & 0.083333 & 0.0025 \tabularnewline
[500,520[ & 510 & 5 & 0.083333 & 0.166667 & 0.004167 \tabularnewline
[520,540[ & 530 & 6 & 0.1 & 0.266667 & 0.005 \tabularnewline
[540,560[ & 550 & 9 & 0.15 & 0.416667 & 0.0075 \tabularnewline
[560,580[ & 570 & 14 & 0.233333 & 0.65 & 0.011667 \tabularnewline
[580,600[ & 590 & 11 & 0.183333 & 0.833333 & 0.009167 \tabularnewline
[600,620[ & 610 & 6 & 0.1 & 0.933333 & 0.005 \tabularnewline
[620,640] & 630 & 4 & 0.066667 & 1 & 0.003333 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=18352&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][460,480[[/C][C]470[/C][C]2[/C][C]0.033333[/C][C]0.033333[/C][C]0.001667[/C][/ROW]
[ROW][C][480,500[[/C][C]490[/C][C]3[/C][C]0.05[/C][C]0.083333[/C][C]0.0025[/C][/ROW]
[ROW][C][500,520[[/C][C]510[/C][C]5[/C][C]0.083333[/C][C]0.166667[/C][C]0.004167[/C][/ROW]
[ROW][C][520,540[[/C][C]530[/C][C]6[/C][C]0.1[/C][C]0.266667[/C][C]0.005[/C][/ROW]
[ROW][C][540,560[[/C][C]550[/C][C]9[/C][C]0.15[/C][C]0.416667[/C][C]0.0075[/C][/ROW]
[ROW][C][560,580[[/C][C]570[/C][C]14[/C][C]0.233333[/C][C]0.65[/C][C]0.011667[/C][/ROW]
[ROW][C][580,600[[/C][C]590[/C][C]11[/C][C]0.183333[/C][C]0.833333[/C][C]0.009167[/C][/ROW]
[ROW][C][600,620[[/C][C]610[/C][C]6[/C][C]0.1[/C][C]0.933333[/C][C]0.005[/C][/ROW]
[ROW][C][620,640][/C][C]630[/C][C]4[/C][C]0.066667[/C][C]1[/C][C]0.003333[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=18352&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18352&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
[460,480[47020.0333330.0333330.001667
[480,500[49030.050.0833330.0025
[500,520[51050.0833330.1666670.004167
[520,540[53060.10.2666670.005
[540,560[55090.150.4166670.0075
[560,580[570140.2333330.650.011667
[580,600[590110.1833330.8333330.009167
[600,620[61060.10.9333330.005
[620,640]63040.06666710.003333


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')