Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Module--
Title produced by softwareHistogram
Date of computationWed, 05 Oct 2011 02:55:52 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Oct/05/t1317797901a8bo06zd9kvsi8i.htm/, Retrieved Thu, 31 Oct 2024 23:57:17 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=126662, Retrieved Thu, 31 Oct 2024 23:57:17 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG2011W2EC
Estimated Impact167
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Histogram] [Frequentietabel: ...] [2011-09-26 19:23:36] [b8a8a49978b51f259f997ad3a43de98f]
- RM      [Histogram] [histogram gemidde...] [2011-10-05 06:55:52] [aabde7cbc80ed24cfac72ae6c5491463] [Current]
Feedback Forum

Post a new message
Dataseries X:
236.77
239.23
240.23
240.33
240.33
240.34
240.34
240.27
240.29
240.29
240.29
240.29
240.31
239.95
242.33
242.11
241.53
241.53
241.53
241.41
241.41
241.66
241.8
241.99
246.24
247.57
247.84
248.27
248.3
248.31
248.31
248.38
248.37
248.41
248.68
248.75
248.75
247.95
248.13
247.86
246.23
245.98
245.98
246.27
246.31
246.3
246.67
246.78
246.78
247.91
247.99
248.6
248.68
248.75
248.75
249.03
249.05
249.57
249.35
249.46
249.46
250.82
254.19
255.18
256.68
256.73
256.73
257.39
257.78
258.67
258.71
258.91
258.91
261.38
262.42
262.77
263.24
262.83
262.83
263.09
263.6
265.68
266.08
266.28




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net

\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 & 0 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=126662&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]0 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=126662&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=126662&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 time0 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[235,240[237.530.0357140.0357140.007143
[240,245[242.5210.250.2857140.05
[245,250[247.5370.4404760.726190.088095
[250,255[252.520.023810.750.004762
[255,260[257.5100.1190480.8690480.02381
[260,265[262.580.0952380.9642860.019048
[265,270]267.530.03571410.007143

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[235,240[ & 237.5 & 3 & 0.035714 & 0.035714 & 0.007143 \tabularnewline
[240,245[ & 242.5 & 21 & 0.25 & 0.285714 & 0.05 \tabularnewline
[245,250[ & 247.5 & 37 & 0.440476 & 0.72619 & 0.088095 \tabularnewline
[250,255[ & 252.5 & 2 & 0.02381 & 0.75 & 0.004762 \tabularnewline
[255,260[ & 257.5 & 10 & 0.119048 & 0.869048 & 0.02381 \tabularnewline
[260,265[ & 262.5 & 8 & 0.095238 & 0.964286 & 0.019048 \tabularnewline
[265,270] & 267.5 & 3 & 0.035714 & 1 & 0.007143 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=126662&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][235,240[[/C][C]237.5[/C][C]3[/C][C]0.035714[/C][C]0.035714[/C][C]0.007143[/C][/ROW]
[ROW][C][240,245[[/C][C]242.5[/C][C]21[/C][C]0.25[/C][C]0.285714[/C][C]0.05[/C][/ROW]
[ROW][C][245,250[[/C][C]247.5[/C][C]37[/C][C]0.440476[/C][C]0.72619[/C][C]0.088095[/C][/ROW]
[ROW][C][250,255[[/C][C]252.5[/C][C]2[/C][C]0.02381[/C][C]0.75[/C][C]0.004762[/C][/ROW]
[ROW][C][255,260[[/C][C]257.5[/C][C]10[/C][C]0.119048[/C][C]0.869048[/C][C]0.02381[/C][/ROW]
[ROW][C][260,265[[/C][C]262.5[/C][C]8[/C][C]0.095238[/C][C]0.964286[/C][C]0.019048[/C][/ROW]
[ROW][C][265,270][/C][C]267.5[/C][C]3[/C][C]0.035714[/C][C]1[/C][C]0.007143[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=126662&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=126662&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
[235,240[237.530.0357140.0357140.007143
[240,245[242.5210.250.2857140.05
[245,250[247.5370.4404760.726190.088095
[250,255[252.520.023810.750.004762
[255,260[257.5100.1190480.8690480.02381
[260,265[262.580.0952380.9642860.019048
[265,270]267.530.03571410.007143



Parameters (Session):
par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = ; par2 = grey ; par3 = FALSE ; par4 = Unknown ; par5 = ; par6 = ; par7 = ; par8 = ; par9 = ; par10 = ; par11 = ; par12 = ; par13 = ; par14 = ; par15 = ; par16 = ; par17 = ; par18 = ; par19 = ; par20 = ;
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.numeric(x[1])) {
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)
}
} else {
plot(mytab <- table(x),col=par2,main='Frequency Plot',xlab=xlab,ylab='Absolute Frequency')
}
dev.off()
if(is.numeric(x[1])) {
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')
} else {
mytab
reltab <- mytab / sum(mytab)
n <- length(mytab)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Frequency Table (Categorical Data)',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Category',header=TRUE)
a<-table.element(a,'Abs. Frequency',header=TRUE)
a<-table.element(a,'Rel. Frequency',header=TRUE)
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,labels(mytab)$x[i],header=TRUE)
a<-table.element(a,mytab[i])
a<-table.element(a,round(reltab[i],4))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')
}