## Free Statistics

of Irreproducible Research!

Author's title
Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationWed, 24 Feb 2010 09:30:46 -0700
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/Feb/24/t1267029404c9t4vjd18vbwz3x.htm/, Retrieved Tue, 06 Dec 2022 19:54:48 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=73455, Retrieved Tue, 06 Dec 2022 19:54:48 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W22
Estimated Impact141
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [Leningen van de ECB] [2010-02-09 17:37:59] [096fac23371314f1b4f216298665d441]
- RMP     [Histogram] [leningen ECB] [2010-02-24 16:30:46] [819ef9efcbdcdc4b312cf90f12d3a4d4] [Current]
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Dataseries X:
792108
472123
272128
992139
642162
352145
492169
92174
462193
92207
792222
72225
782230
52241
332266
902266
402287
812304
532313
802330
342322
222320
42314
252298
892323
392342
772330
982344
592342
662360
882362
942373
222371
632404
782475
372472
822461
142441
142435
742425
672393
302390
862379
772372
302370
452359
112353
442320
512322
192322
292303
962280
322321
362301
62288
812271
32259
72407
332399
712416
162432
652423
272420
642433
512435
722436
292453
812469
102444
122438
42476
702562

 Summary of computational transaction Raw Input view raw input (R code) Raw Output view raw output of R engine Computing time 1 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=73455&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=73455&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=73455&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 Input view raw input (R code) Raw Output view raw output of R engine Computing time 1 seconds R Server 'Gwilym Jenkins' @ 72.249.127.135

 Frequency Table (Histogram) Bins Midpoint Abs. Frequency Rel. Frequency Cumul. Rel. Freq. Density [0,1e+05[ 50000 9 0.125 0.125 1e-06 [1e+05,2e+05[ 150000 7 0.097222 0.222222 1e-06 [2e+05,3e+05[ 250000 7 0.097222 0.319444 1e-06 [3e+05,4e+05[ 350000 10 0.138889 0.458333 1e-06 [4e+05,5e+05[ 450000 6 0.083333 0.541667 1e-06 [5e+05,6e+05[ 550000 4 0.055556 0.597222 1e-06 [6e+05,7e+05[ 650000 6 0.083333 0.680556 1e-06 [7e+05,8e+05[ 750000 10 0.138889 0.819444 1e-06 [8e+05,9e+05[ 850000 8 0.111111 0.930556 1e-06 [9e+05,1e+06] 950000 5 0.069444 1 1e-06

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0,1e+05[ & 50000 & 9 & 0.125 & 0.125 & 1e-06 \tabularnewline
[1e+05,2e+05[ & 150000 & 7 & 0.097222 & 0.222222 & 1e-06 \tabularnewline
[2e+05,3e+05[ & 250000 & 7 & 0.097222 & 0.319444 & 1e-06 \tabularnewline
[3e+05,4e+05[ & 350000 & 10 & 0.138889 & 0.458333 & 1e-06 \tabularnewline
[4e+05,5e+05[ & 450000 & 6 & 0.083333 & 0.541667 & 1e-06 \tabularnewline
[5e+05,6e+05[ & 550000 & 4 & 0.055556 & 0.597222 & 1e-06 \tabularnewline
[6e+05,7e+05[ & 650000 & 6 & 0.083333 & 0.680556 & 1e-06 \tabularnewline
[7e+05,8e+05[ & 750000 & 10 & 0.138889 & 0.819444 & 1e-06 \tabularnewline
[8e+05,9e+05[ & 850000 & 8 & 0.111111 & 0.930556 & 1e-06 \tabularnewline
[9e+05,1e+06] & 950000 & 5 & 0.069444 & 1 & 1e-06 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=73455&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][0,1e+05[[/C][C]50000[/C][C]9[/C][C]0.125[/C][C]0.125[/C][C]1e-06[/C][/ROW]
[ROW][C][1e+05,2e+05[[/C][C]150000[/C][C]7[/C][C]0.097222[/C][C]0.222222[/C][C]1e-06[/C][/ROW]
[ROW][C][2e+05,3e+05[[/C][C]250000[/C][C]7[/C][C]0.097222[/C][C]0.319444[/C][C]1e-06[/C][/ROW]
[ROW][C][3e+05,4e+05[[/C][C]350000[/C][C]10[/C][C]0.138889[/C][C]0.458333[/C][C]1e-06[/C][/ROW]
[ROW][C][4e+05,5e+05[[/C][C]450000[/C][C]6[/C][C]0.083333[/C][C]0.541667[/C][C]1e-06[/C][/ROW]
[ROW][C][5e+05,6e+05[[/C][C]550000[/C][C]4[/C][C]0.055556[/C][C]0.597222[/C][C]1e-06[/C][/ROW]
[ROW][C][6e+05,7e+05[[/C][C]650000[/C][C]6[/C][C]0.083333[/C][C]0.680556[/C][C]1e-06[/C][/ROW]
[ROW][C][7e+05,8e+05[[/C][C]750000[/C][C]10[/C][C]0.138889[/C][C]0.819444[/C][C]1e-06[/C][/ROW]
[ROW][C][8e+05,9e+05[[/C][C]850000[/C][C]8[/C][C]0.111111[/C][C]0.930556[/C][C]1e-06[/C][/ROW]
[ROW][C][9e+05,1e+06][/C][C]950000[/C][C]5[/C][C]0.069444[/C][C]1[/C][C]1e-06[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=73455&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=73455&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) Bins Midpoint Abs. Frequency Rel. Frequency Cumul. Rel. Freq. Density [0,1e+05[ 50000 9 0.125 0.125 1e-06 [1e+05,2e+05[ 150000 7 0.097222 0.222222 1e-06 [2e+05,3e+05[ 250000 7 0.097222 0.319444 1e-06 [3e+05,4e+05[ 350000 10 0.138889 0.458333 1e-06 [4e+05,5e+05[ 450000 6 0.083333 0.541667 1e-06 [5e+05,6e+05[ 550000 4 0.055556 0.597222 1e-06 [6e+05,7e+05[ 650000 6 0.083333 0.680556 1e-06 [7e+05,8e+05[ 750000 10 0.138889 0.819444 1e-06 [8e+05,9e+05[ 850000 8 0.111111 0.930556 1e-06 [9e+05,1e+06] 950000 5 0.069444 1 1e-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)
a<-table.start()
a<-table.row.start(a)
a<-table.row.end(a)
a<-table.row.start(a)
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,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))