Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationTue, 23 Feb 2010 12:38:09 -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/23/t1266954077jtc9mt6hof96uox.htm/, Retrieved Sat, 13 Apr 2024 09:42:44 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=73369, Retrieved Sat, 13 Apr 2024 09:42:44 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W22
Estimated Impact214
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [Aantal begonnen g...] [2010-02-10 15:24:20] [4b83e89f090404f02837c0e7e2fa6c8e]
- RMP     [Histogram] [Frequentietabel E...] [2010-02-23 19:38:09] [703cc945e3db15433e6894138e0ac090] [Current]
- RMP       [Kernel Density Estimation] [dichtheidsgrafiek...] [2010-02-23 19:45:58] [4b83e89f090404f02837c0e7e2fa6c8e]
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Dataseries X:
268
250
231
295
258
288
292
253
272
251
274
302
325
307
246
299
305
280
272
252
235
220
274
301
305
320
248
278
264
263
261
267
255
222
276
277
281
284
218
281
298
288
270
245
250
227
238
262
272
264
212
294
280
273
239
242
201
239
266
276
288
271
220
274
273
289
270
243
225
222
234
254




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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=73369&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=73369&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=73369&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'Gwilym Jenkins' @ 72.249.127.135







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[200,220[21030.0416670.0416670.002083
[220,240[230120.1666670.2083330.008333
[240,260[250130.1805560.3888890.009028
[260,280[270230.3194440.7083330.015972
[280,300[290140.1944440.9027780.009722
[300,320[31050.0694440.9722220.003472
[320,340]33020.02777810.001389

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[200,220[ & 210 & 3 & 0.041667 & 0.041667 & 0.002083 \tabularnewline
[220,240[ & 230 & 12 & 0.166667 & 0.208333 & 0.008333 \tabularnewline
[240,260[ & 250 & 13 & 0.180556 & 0.388889 & 0.009028 \tabularnewline
[260,280[ & 270 & 23 & 0.319444 & 0.708333 & 0.015972 \tabularnewline
[280,300[ & 290 & 14 & 0.194444 & 0.902778 & 0.009722 \tabularnewline
[300,320[ & 310 & 5 & 0.069444 & 0.972222 & 0.003472 \tabularnewline
[320,340] & 330 & 2 & 0.027778 & 1 & 0.001389 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=73369&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][200,220[[/C][C]210[/C][C]3[/C][C]0.041667[/C][C]0.041667[/C][C]0.002083[/C][/ROW]
[ROW][C][220,240[[/C][C]230[/C][C]12[/C][C]0.166667[/C][C]0.208333[/C][C]0.008333[/C][/ROW]
[ROW][C][240,260[[/C][C]250[/C][C]13[/C][C]0.180556[/C][C]0.388889[/C][C]0.009028[/C][/ROW]
[ROW][C][260,280[[/C][C]270[/C][C]23[/C][C]0.319444[/C][C]0.708333[/C][C]0.015972[/C][/ROW]
[ROW][C][280,300[[/C][C]290[/C][C]14[/C][C]0.194444[/C][C]0.902778[/C][C]0.009722[/C][/ROW]
[ROW][C][300,320[[/C][C]310[/C][C]5[/C][C]0.069444[/C][C]0.972222[/C][C]0.003472[/C][/ROW]
[ROW][C][320,340][/C][C]330[/C][C]2[/C][C]0.027778[/C][C]1[/C][C]0.001389[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=73369&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=73369&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
[200,220[21030.0416670.0416670.002083
[220,240[230120.1666670.2083330.008333
[240,260[250130.1805560.3888890.009028
[260,280[270230.3194440.7083330.015972
[280,300[290140.1944440.9027780.009722
[300,320[31050.0694440.9722220.003472
[320,340]33020.02777810.001389



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')