Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationTue, 01 Jun 2010 14:47:07 +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/2010/Jun/01/t1275403791lv1mpsp7n3lfjoo.htm/, Retrieved Sat, 27 Apr 2024 11:24:10 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=76814, Retrieved Sat, 27 Apr 2024 11:24:10 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W22
Estimated Impact213
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [reeks 1] [2010-05-24 14:23:50] [d1b5c9274b6f3a044d3a238a9a6b4dd1]
- RMPD    [Histogram] [] [2010-06-01 14:47:07] [07915b1f88a41fb8d82e27c5eaa7bbed] [Current]
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Dataseries X:
25000
25284
12434.5
33955
14980.5
50831
4198.5
34566
35000
11055.5
20807
21887.29
16977.5
19613.5
14570
24416.5
16825.5
13980
21450.5
27239.5
19078.5
20459.1
20373.5
19306.5
16723.16
11638
20917
17903.5
28218.5
15268
21555
23143
16691
17932.5
30512
41931.5
10853.5
25939.5
14900
25127.76
22063.5
25306.5
31217.5
23201.5
38148
26264
16359
27945.5
16218.5
36003.5
20323.5
20100.5
18741
24426.75
19174.5
13766
18999
21745
34469
13248
16218.5
36003.5
20323.5
20100.5
18741
24426.75
19174.5
13766
18999
21745
34469
13248




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=76814&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=76814&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=76814&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 time1 seconds
R Server'George Udny Yule' @ 72.249.76.132







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[0,5000[250010.0138890.0138893e-06
[5000,10000[7500000.0138890
[10000,15000[12500120.1666670.1805563.3e-05
[15000,20000[17500190.2638890.4444445.3e-05
[20000,25000[22500190.2638890.7083335.3e-05
[25000,30000[2750090.1250.8333332.5e-05
[30000,35000[3250060.0833330.9166671.7e-05
[35000,40000[3750040.0555560.9722221.1e-05
[40000,45000[4250010.0138890.9861113e-06
[45000,50000[47500000.9861110
[50000,55000]5250010.01388913e-06

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0,5000[ & 2500 & 1 & 0.013889 & 0.013889 & 3e-06 \tabularnewline
[5000,10000[ & 7500 & 0 & 0 & 0.013889 & 0 \tabularnewline
[10000,15000[ & 12500 & 12 & 0.166667 & 0.180556 & 3.3e-05 \tabularnewline
[15000,20000[ & 17500 & 19 & 0.263889 & 0.444444 & 5.3e-05 \tabularnewline
[20000,25000[ & 22500 & 19 & 0.263889 & 0.708333 & 5.3e-05 \tabularnewline
[25000,30000[ & 27500 & 9 & 0.125 & 0.833333 & 2.5e-05 \tabularnewline
[30000,35000[ & 32500 & 6 & 0.083333 & 0.916667 & 1.7e-05 \tabularnewline
[35000,40000[ & 37500 & 4 & 0.055556 & 0.972222 & 1.1e-05 \tabularnewline
[40000,45000[ & 42500 & 1 & 0.013889 & 0.986111 & 3e-06 \tabularnewline
[45000,50000[ & 47500 & 0 & 0 & 0.986111 & 0 \tabularnewline
[50000,55000] & 52500 & 1 & 0.013889 & 1 & 3e-06 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=76814&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][0,5000[[/C][C]2500[/C][C]1[/C][C]0.013889[/C][C]0.013889[/C][C]3e-06[/C][/ROW]
[ROW][C][5000,10000[[/C][C]7500[/C][C]0[/C][C]0[/C][C]0.013889[/C][C]0[/C][/ROW]
[ROW][C][10000,15000[[/C][C]12500[/C][C]12[/C][C]0.166667[/C][C]0.180556[/C][C]3.3e-05[/C][/ROW]
[ROW][C][15000,20000[[/C][C]17500[/C][C]19[/C][C]0.263889[/C][C]0.444444[/C][C]5.3e-05[/C][/ROW]
[ROW][C][20000,25000[[/C][C]22500[/C][C]19[/C][C]0.263889[/C][C]0.708333[/C][C]5.3e-05[/C][/ROW]
[ROW][C][25000,30000[[/C][C]27500[/C][C]9[/C][C]0.125[/C][C]0.833333[/C][C]2.5e-05[/C][/ROW]
[ROW][C][30000,35000[[/C][C]32500[/C][C]6[/C][C]0.083333[/C][C]0.916667[/C][C]1.7e-05[/C][/ROW]
[ROW][C][35000,40000[[/C][C]37500[/C][C]4[/C][C]0.055556[/C][C]0.972222[/C][C]1.1e-05[/C][/ROW]
[ROW][C][40000,45000[[/C][C]42500[/C][C]1[/C][C]0.013889[/C][C]0.986111[/C][C]3e-06[/C][/ROW]
[ROW][C][45000,50000[[/C][C]47500[/C][C]0[/C][C]0[/C][C]0.986111[/C][C]0[/C][/ROW]
[ROW][C][50000,55000][/C][C]52500[/C][C]1[/C][C]0.013889[/C][C]1[/C][C]3e-06[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=76814&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=76814&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
[0,5000[250010.0138890.0138893e-06
[5000,10000[7500000.0138890
[10000,15000[12500120.1666670.1805563.3e-05
[15000,20000[17500190.2638890.4444445.3e-05
[20000,25000[22500190.2638890.7083335.3e-05
[25000,30000[2750090.1250.8333332.5e-05
[30000,35000[3250060.0833330.9166671.7e-05
[35000,40000[3750040.0555560.9722221.1e-05
[40000,45000[4250010.0138890.9861113e-06
[45000,50000[47500000.9861110
[50000,55000]5250010.01388913e-06



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')