Free Statistics

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 computationSun, 18 Oct 2009 12:09:48 -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/18/t12558894844d2ptkyt7bot4os.htm/, Retrieved Thu, 31 Oct 2024 22:49:30 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=47434, Retrieved Thu, 31 Oct 2024 22:49:30 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsShwWs3V2
Estimated Impact187
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]
- RMP       [Histogram] [WS3 part 1 histogram] [2009-10-18 14:33:34] [e0fc65a5811681d807296d590d5b45de]
-    D          [Histogram] [WS3 part 2 Yt] [2009-10-18 18:09:48] [51108381f3361ca8af49c4f74052c840] [Current]
-    D            [Histogram] [WS3Part2Yt-Xt] [2009-10-18 18:59:00] [e0fc65a5811681d807296d590d5b45de]
-                   [Histogram] [WS3Part2Yt/XT] [2009-10-18 19:35:51] [e0fc65a5811681d807296d590d5b45de]
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Dataseries X:
58608
46865
51378
46235
47206
45382
41227
33795
31295
42625
33625
21538
56421
53152
53536
52408
41454
38271
35306
26414
31917
38030
27534
18387
50556
43901
48572
43899
37532
40357
35489
29027
34485
42598
30306
26451
47460
50104
61465
53726
39477
43895
31481
29896
33842
39120
33702
25094
51442
45594
52518
48564
41745
49585
32747
33379
35645
37034
35681
20972




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=47434&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=47434&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=47434&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
[15000,20000[1750010.0166670.0166673e-06
[20000,25000[2250020.0333330.057e-06
[25000,30000[2750060.10.152e-05
[30000,35000[32500110.1833330.3333333.7e-05
[35000,40000[37500100.1666670.53.3e-05
[40000,45000[4250090.150.653e-05
[45000,50000[4750090.150.83e-05
[50000,55000[5250090.150.953e-05
[55000,60000[5750020.0333330.9833337e-06
[60000,65000]6250010.01666713e-06

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[15000,20000[ & 17500 & 1 & 0.016667 & 0.016667 & 3e-06 \tabularnewline
[20000,25000[ & 22500 & 2 & 0.033333 & 0.05 & 7e-06 \tabularnewline
[25000,30000[ & 27500 & 6 & 0.1 & 0.15 & 2e-05 \tabularnewline
[30000,35000[ & 32500 & 11 & 0.183333 & 0.333333 & 3.7e-05 \tabularnewline
[35000,40000[ & 37500 & 10 & 0.166667 & 0.5 & 3.3e-05 \tabularnewline
[40000,45000[ & 42500 & 9 & 0.15 & 0.65 & 3e-05 \tabularnewline
[45000,50000[ & 47500 & 9 & 0.15 & 0.8 & 3e-05 \tabularnewline
[50000,55000[ & 52500 & 9 & 0.15 & 0.95 & 3e-05 \tabularnewline
[55000,60000[ & 57500 & 2 & 0.033333 & 0.983333 & 7e-06 \tabularnewline
[60000,65000] & 62500 & 1 & 0.016667 & 1 & 3e-06 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=47434&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][15000,20000[[/C][C]17500[/C][C]1[/C][C]0.016667[/C][C]0.016667[/C][C]3e-06[/C][/ROW]
[ROW][C][20000,25000[[/C][C]22500[/C][C]2[/C][C]0.033333[/C][C]0.05[/C][C]7e-06[/C][/ROW]
[ROW][C][25000,30000[[/C][C]27500[/C][C]6[/C][C]0.1[/C][C]0.15[/C][C]2e-05[/C][/ROW]
[ROW][C][30000,35000[[/C][C]32500[/C][C]11[/C][C]0.183333[/C][C]0.333333[/C][C]3.7e-05[/C][/ROW]
[ROW][C][35000,40000[[/C][C]37500[/C][C]10[/C][C]0.166667[/C][C]0.5[/C][C]3.3e-05[/C][/ROW]
[ROW][C][40000,45000[[/C][C]42500[/C][C]9[/C][C]0.15[/C][C]0.65[/C][C]3e-05[/C][/ROW]
[ROW][C][45000,50000[[/C][C]47500[/C][C]9[/C][C]0.15[/C][C]0.8[/C][C]3e-05[/C][/ROW]
[ROW][C][50000,55000[[/C][C]52500[/C][C]9[/C][C]0.15[/C][C]0.95[/C][C]3e-05[/C][/ROW]
[ROW][C][55000,60000[[/C][C]57500[/C][C]2[/C][C]0.033333[/C][C]0.983333[/C][C]7e-06[/C][/ROW]
[ROW][C][60000,65000][/C][C]62500[/C][C]1[/C][C]0.016667[/C][C]1[/C][C]3e-06[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=47434&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=47434&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
[15000,20000[1750010.0166670.0166673e-06
[20000,25000[2250020.0333330.057e-06
[25000,30000[2750060.10.152e-05
[30000,35000[32500110.1833330.3333333.7e-05
[35000,40000[37500100.1666670.53.3e-05
[40000,45000[4250090.150.653e-05
[45000,50000[4750090.150.83e-05
[50000,55000[5250090.150.953e-05
[55000,60000[5750020.0333330.9833337e-06
[60000,65000]6250010.01666713e-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')