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of Irreproducible Research!

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationMon, 19 Oct 2009 13:21:59 -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/19/t125598018284p4996cimstqrb.htm/, Retrieved Mon, 29 Apr 2024 21:11:23 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=48139, Retrieved Mon, 29 Apr 2024 21:11:23 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact93
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]
F RMPD      [Central Tendency] [WS3_Part2 Y(t)] [2009-10-19 18:16:03] [2c75a4273e8c314249ceca659377406c]
- RMPD          [Histogram] [WS3_Part 2 Histogram] [2009-10-19 19:21:59] [7a6d96edf94be87996de99db5f42363b] [Current]
Feedback Forum

Post a new message
Dataseries X:
48246854.6
46836572
48706419.4
29098486.1
49052932.8
57056572.5
59014973
49599878.6
37137255
42934862.8
45962100.1
54001904.7
51320001.6
47080558
53231955
33305395.5
50782946.4
65370895.2
63614700
49042022.4
41331706
46504277.5
50532945.4
60753320.8
52185504
47870250.4
59210970.2
29142323
56739882.7
65978420.1
63272034
54128613.7
47517229.2
42483193.5
48859519.1
52656962.8
57711170
51468259.2
61910246.4
27374413.5
58863542.4
67472116.8
59069290.5
55729814.4
45681286.5
45514393.6
49566048
59893236.7
50817142.5
56704725
60674557.8
27694644.9
58826046
66393003.6
61583100
57988555
43300189.8
47761075.2
50110370.2
56623174.5
48594915.6
49826205
53356834
28378998.2
55668672.6
55357345.4
60244101
50678692.4
37283705
47711900.6
50451563.4
42316229.8
53632584.2
45809243.2
50002626
30064765.1
46262253
56197032.5
52338391.6
43260849.2
36646011
40092049.8
46392769.8
54704844
47483347.5
45971816.6
54050371.2




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=48139&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]2 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=48139&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=48139&T=0

As an alternative you can also use a 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 time2 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[2.5e+07,3e+07[2750000050.0574710.0574710
[3e+07,3.5e+07[3250000020.0229890.080460
[3.5e+07,4e+07[3750000030.0344830.1149430
[4e+07,4.5e+07[4250000070.080460.1954020
[4.5e+07,5e+07[47500000240.2758620.4712640
[5e+07,5.5e+07[52500000190.2183910.6896550
[5.5e+07,6e+07[57500000160.1839080.8735630
[6e+07,6.5e+07[6250000070.080460.9540230
[6.5e+07,7e+07]6750000040.04597710

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[2.5e+07,3e+07[ & 27500000 & 5 & 0.057471 & 0.057471 & 0 \tabularnewline
[3e+07,3.5e+07[ & 32500000 & 2 & 0.022989 & 0.08046 & 0 \tabularnewline
[3.5e+07,4e+07[ & 37500000 & 3 & 0.034483 & 0.114943 & 0 \tabularnewline
[4e+07,4.5e+07[ & 42500000 & 7 & 0.08046 & 0.195402 & 0 \tabularnewline
[4.5e+07,5e+07[ & 47500000 & 24 & 0.275862 & 0.471264 & 0 \tabularnewline
[5e+07,5.5e+07[ & 52500000 & 19 & 0.218391 & 0.689655 & 0 \tabularnewline
[5.5e+07,6e+07[ & 57500000 & 16 & 0.183908 & 0.873563 & 0 \tabularnewline
[6e+07,6.5e+07[ & 62500000 & 7 & 0.08046 & 0.954023 & 0 \tabularnewline
[6.5e+07,7e+07] & 67500000 & 4 & 0.045977 & 1 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=48139&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][2.5e+07,3e+07[[/C][C]27500000[/C][C]5[/C][C]0.057471[/C][C]0.057471[/C][C]0[/C][/ROW]
[ROW][C][3e+07,3.5e+07[[/C][C]32500000[/C][C]2[/C][C]0.022989[/C][C]0.08046[/C][C]0[/C][/ROW]
[ROW][C][3.5e+07,4e+07[[/C][C]37500000[/C][C]3[/C][C]0.034483[/C][C]0.114943[/C][C]0[/C][/ROW]
[ROW][C][4e+07,4.5e+07[[/C][C]42500000[/C][C]7[/C][C]0.08046[/C][C]0.195402[/C][C]0[/C][/ROW]
[ROW][C][4.5e+07,5e+07[[/C][C]47500000[/C][C]24[/C][C]0.275862[/C][C]0.471264[/C][C]0[/C][/ROW]
[ROW][C][5e+07,5.5e+07[[/C][C]52500000[/C][C]19[/C][C]0.218391[/C][C]0.689655[/C][C]0[/C][/ROW]
[ROW][C][5.5e+07,6e+07[[/C][C]57500000[/C][C]16[/C][C]0.183908[/C][C]0.873563[/C][C]0[/C][/ROW]
[ROW][C][6e+07,6.5e+07[[/C][C]62500000[/C][C]7[/C][C]0.08046[/C][C]0.954023[/C][C]0[/C][/ROW]
[ROW][C][6.5e+07,7e+07][/C][C]67500000[/C][C]4[/C][C]0.045977[/C][C]1[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=48139&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=48139&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[2.5e+07,3e+07[2750000050.0574710.0574710
[3e+07,3.5e+07[3250000020.0229890.080460
[3.5e+07,4e+07[3750000030.0344830.1149430
[4e+07,4.5e+07[4250000070.080460.1954020
[4.5e+07,5e+07[47500000240.2758620.4712640
[5e+07,5.5e+07[52500000190.2183910.6896550
[5.5e+07,6e+07[57500000160.1839080.8735630
[6e+07,6.5e+07[6250000070.080460.9540230
[6.5e+07,7e+07]6750000040.04597710



Parameters (Session):
par2 = blue ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = ; par2 = blue ; 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')