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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, 26 Sep 2009 07:56:32 -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/Sep/26/t12539735638v6ekxtqd1qnqdo.htm/, Retrieved Sat, 20 Apr 2024 07:07:24 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=43038, Retrieved Sat, 20 Apr 2024 07:07:24 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact226

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Niet-werkende wer...] [2009-09-26 13:56:32] [6d9057303e3cf902729f982e57bf5fa8] [Current]
- RMP     [Kernel Density Estimation] [Niet-werkende wer...] [2009-10-04 02:21:46] [6797cdeb32c30e9f935f3913baaaa461]
- RMP     [Notched Boxplots] [Boxplot Niet-werk...] [2009-10-13 09:05:59] [6797cdeb32c30e9f935f3913baaaa461]
- RMP     [Harrell-Davis Quantiles] [Niet-werkende wer...] [2009-10-19 08:07:15] [6797cdeb32c30e9f935f3913baaaa461]
- RMP     [Harrell-Davis Quantiles] [Niet-werkende wer...] [2009-10-19 08:09:46] [6797cdeb32c30e9f935f3913baaaa461]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
520564
501492
485025
464196
460170
467037
460070
447988
442867
436087
431328
484015
509673
512927
502831
470984
471067
476049
474605
470439
461251
454724
455626
516847
525192
522975
518585
509239
512238
519164
517009
509933
509127
500857
506971
569323
579714
577992
565464
547344
554788
562325
560854
555332
543599
536662
542722
593530
610763
612613
611324
594167
595454
590865
589379
584428
573100
567456
569028
620735
628884
628232
612117
595404
597141
593408
590072
579799
574205
572775
572942
619567
625809
619916
587625
565742
557274
560576
548854
531673
525919
511038
498662
555362
564591
541657
527070
509846
514258
516922
507561
492622
490243
469357
477580
528379
533590
517945
506174
501866
516141
528222
532638
536322
536535
523597
536214
586570
596594

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'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=43038&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=43038&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=43038&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'RServer@AstonUniversity' @ vre.aston.ac.uk






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[420000,440000[43000020.0183490.0183491e-06
[440000,460000[45000040.0366970.0550462e-06
[460000,480000[470000120.1100920.1651386e-06
[480000,5e+05[49000050.0458720.2110092e-06
[5e+05,520000[510000230.2110090.4220181.1e-05
[520000,540000[530000150.1376150.5596337e-06
[540000,560000[55000090.0825690.6422024e-06
[560000,580000[570000160.1467890.7889917e-06
[580000,6e+05[590000130.1192660.9082576e-06
[6e+05,620000[61000060.0550460.9633033e-06
[620000,640000]63000040.03669712e-06

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[420000,440000[ & 430000 & 2 & 0.018349 & 0.018349 & 1e-06 \tabularnewline
[440000,460000[ & 450000 & 4 & 0.036697 & 0.055046 & 2e-06 \tabularnewline
[460000,480000[ & 470000 & 12 & 0.110092 & 0.165138 & 6e-06 \tabularnewline
[480000,5e+05[ & 490000 & 5 & 0.045872 & 0.211009 & 2e-06 \tabularnewline
[5e+05,520000[ & 510000 & 23 & 0.211009 & 0.422018 & 1.1e-05 \tabularnewline
[520000,540000[ & 530000 & 15 & 0.137615 & 0.559633 & 7e-06 \tabularnewline
[540000,560000[ & 550000 & 9 & 0.082569 & 0.642202 & 4e-06 \tabularnewline
[560000,580000[ & 570000 & 16 & 0.146789 & 0.788991 & 7e-06 \tabularnewline
[580000,6e+05[ & 590000 & 13 & 0.119266 & 0.908257 & 6e-06 \tabularnewline
[6e+05,620000[ & 610000 & 6 & 0.055046 & 0.963303 & 3e-06 \tabularnewline
[620000,640000] & 630000 & 4 & 0.036697 & 1 & 2e-06 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=43038&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][420000,440000[[/C][C]430000[/C][C]2[/C][C]0.018349[/C][C]0.018349[/C][C]1e-06[/C][/ROW]
[ROW][C][440000,460000[[/C][C]450000[/C][C]4[/C][C]0.036697[/C][C]0.055046[/C][C]2e-06[/C][/ROW]
[ROW][C][460000,480000[[/C][C]470000[/C][C]12[/C][C]0.110092[/C][C]0.165138[/C][C]6e-06[/C][/ROW]
[ROW][C][480000,5e+05[[/C][C]490000[/C][C]5[/C][C]0.045872[/C][C]0.211009[/C][C]2e-06[/C][/ROW]
[ROW][C][5e+05,520000[[/C][C]510000[/C][C]23[/C][C]0.211009[/C][C]0.422018[/C][C]1.1e-05[/C][/ROW]
[ROW][C][520000,540000[[/C][C]530000[/C][C]15[/C][C]0.137615[/C][C]0.559633[/C][C]7e-06[/C][/ROW]
[ROW][C][540000,560000[[/C][C]550000[/C][C]9[/C][C]0.082569[/C][C]0.642202[/C][C]4e-06[/C][/ROW]
[ROW][C][560000,580000[[/C][C]570000[/C][C]16[/C][C]0.146789[/C][C]0.788991[/C][C]7e-06[/C][/ROW]
[ROW][C][580000,6e+05[[/C][C]590000[/C][C]13[/C][C]0.119266[/C][C]0.908257[/C][C]6e-06[/C][/ROW]
[ROW][C][6e+05,620000[[/C][C]610000[/C][C]6[/C][C]0.055046[/C][C]0.963303[/C][C]3e-06[/C][/ROW]
[ROW][C][620000,640000][/C][C]630000[/C][C]4[/C][C]0.036697[/C][C]1[/C][C]2e-06[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=43038&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=43038&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
[420000,440000[43000020.0183490.0183491e-06
[440000,460000[45000040.0366970.0550462e-06
[460000,480000[470000120.1100920.1651386e-06
[480000,5e+05[49000050.0458720.2110092e-06
[5e+05,520000[510000230.2110090.4220181.1e-05
[520000,540000[530000150.1376150.5596337e-06
[540000,560000[55000090.0825690.6422024e-06
[560000,580000[570000160.1467890.7889917e-06
[580000,6e+05[590000130.1192660.9082576e-06
[6e+05,620000[61000060.0550460.9633033e-06
[620000,640000]63000040.03669712e-06


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 9 ; par2 = grey ; par3 = FALSE ; par4 = Interval/Ratio ;
Parameters (R input):
par1 = 9 ; par2 = grey ; par3 = FALSE ; par4 = Interval/Ratio ;
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')