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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 computationTue, 10 Mar 2009 05:38:26 -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/Mar/10/t1236685171d532tlr78viatmc.htm/, Retrieved Fri, 26 Apr 2024 20:07:37 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=38861, Retrieved Fri, 26 Apr 2024 20:07:37 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact160

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Histogram] [elke torfs mar 201] [2009-02-12 15:30:15] [74be16979710d4c4e7c6647856088456]
-    D    [Histogram] [histogram omzetci...] [2009-03-10 11:38:26] [2ee75919b5830eac25092adc1951c043] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
356445
291705
310900
332340
257166
334551
317365
270863
317904
423141
317684
411063
371161
299023
326964
327146
303447
351994
320317
257151
320274
476982
301723
363567
338831
265802
307691
334207
303127
318863
292123
245155
284794
391604
304982
369552
356021
247577
277885
294032
310845
311023
298462
234188
297478
371017
291128
316374
326001
222302
227424
255428
278250
280335
241894
255075
255115
319482
270694
300209
283531
218924
236466
267980
219994
256052
230444
200778
240960
277837
209776
232065

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'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=38861&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=38861&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38861&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'George Udny Yule' @ 72.249.76.132






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[2e+05,250000[225000140.1944440.1944444e-06
[250000,3e+05[275000230.3194440.5138896e-06
[3e+05,350000[325000240.3333330.8472227e-06
[350000,4e+05[37500080.1111110.9583332e-06
[4e+05,450000[42500020.0277780.9861111e-06
[450000,5e+05]47500010.01388910

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[2e+05,250000[ & 225000 & 14 & 0.194444 & 0.194444 & 4e-06 \tabularnewline
[250000,3e+05[ & 275000 & 23 & 0.319444 & 0.513889 & 6e-06 \tabularnewline
[3e+05,350000[ & 325000 & 24 & 0.333333 & 0.847222 & 7e-06 \tabularnewline
[350000,4e+05[ & 375000 & 8 & 0.111111 & 0.958333 & 2e-06 \tabularnewline
[4e+05,450000[ & 425000 & 2 & 0.027778 & 0.986111 & 1e-06 \tabularnewline
[450000,5e+05] & 475000 & 1 & 0.013889 & 1 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=38861&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][2e+05,250000[[/C][C]225000[/C][C]14[/C][C]0.194444[/C][C]0.194444[/C][C]4e-06[/C][/ROW]
[ROW][C][250000,3e+05[[/C][C]275000[/C][C]23[/C][C]0.319444[/C][C]0.513889[/C][C]6e-06[/C][/ROW]
[ROW][C][3e+05,350000[[/C][C]325000[/C][C]24[/C][C]0.333333[/C][C]0.847222[/C][C]7e-06[/C][/ROW]
[ROW][C][350000,4e+05[[/C][C]375000[/C][C]8[/C][C]0.111111[/C][C]0.958333[/C][C]2e-06[/C][/ROW]
[ROW][C][4e+05,450000[[/C][C]425000[/C][C]2[/C][C]0.027778[/C][C]0.986111[/C][C]1e-06[/C][/ROW]
[ROW][C][450000,5e+05][/C][C]475000[/C][C]1[/C][C]0.013889[/C][C]1[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=38861&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38861&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
[2e+05,250000[225000140.1944440.1944444e-06
[250000,3e+05[275000230.3194440.5138896e-06
[3e+05,350000[325000240.3333330.8472227e-06
[350000,4e+05[37500080.1111110.9583332e-06
[4e+05,450000[42500020.0277780.9861111e-06
[450000,5e+05]47500010.01388910


Figures (Output of Computation)

Input Parameters & R Code

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')