Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationMon, 03 Aug 2009 13:00:31 -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/Aug/03/t1249326140ha0hp8f34y86pfo.htm/, Retrieved Sat, 27 Apr 2024 18:53:27 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=42459, Retrieved Sat, 27 Apr 2024 18:53:27 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact247
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [Gemiddelde prijs ...] [2008-09-23 09:31:20] [74be16979710d4c4e7c6647856088456]
- RMP   [Histogram] [Frequentietabel -...] [2008-09-30 09:32:32] [74be16979710d4c4e7c6647856088456]
-    D      [Histogram] [Histogram Prijs r...] [2009-08-03 19:00:31] [f78fa5e3827314a0edd0041d1d9dae5e] [Current]
-   PD        [Histogram] [Gemiddelde prijs ...] [2009-08-03 19:05:38] [b61406873bd841e2047c054f7ebec102]
-    D        [Histogram] [Histogram gemidde...] [2009-08-03 19:09:27] [b61406873bd841e2047c054f7ebec102]
- RMP         [Kernel Density Estimation] [Dichtheidsgrafiek...] [2009-08-03 19:23:58] [b61406873bd841e2047c054f7ebec102]
- RMPD        [Quartiles] [Quartielen maximu...] [2009-08-03 19:31:33] [b61406873bd841e2047c054f7ebec102]
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Dataseries X:
11,73
11,74
11,65
11,38
11,53
11,75
11,82
11,83
11,63
11,55
11,4
11,4
11,63
11,46
11,35
11,7
11,52
11,64
11,9
11,73
11,7
11,54
11,97
11,64
11,98
11,79
11,66
11,96
11,83
12,36
12,53
12,55
12,53
12,24
12,34
12,05
12,22
12,23
11,92
12,13
12,1
12,15
12,23
12,08
12,02
11,93
12,16
11,87
11,93
11,79
11,43
11,63
11,93
11,89
11,83
11,59
12,04
11,81
11,9
11,72
11,91
11,94
11,91
11,84
12,01
11,89
11,8
11,7
11,5
11,76
11,61
11,27
11,64
11,39
11,54
11,62
11,59
11,44
11,31
11,56
11,4
11,51
11,5
11,24
11,8




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=42459&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=42459&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42459&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
[11.2,11.4[11.360.0705880.0705880.352941
[11.4,11.6[11.5170.20.2705881
[11.6,11.8[11.7210.2470590.5176471.235294
[11.8,12[11.9230.2705880.7882351.352941
[12,12.2[12.190.1058820.8941180.529412
[12.2,12.4[12.360.0705880.9647060.352941
[12.4,12.6]12.530.03529410.176471

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[11.2,11.4[ & 11.3 & 6 & 0.070588 & 0.070588 & 0.352941 \tabularnewline
[11.4,11.6[ & 11.5 & 17 & 0.2 & 0.270588 & 1 \tabularnewline
[11.6,11.8[ & 11.7 & 21 & 0.247059 & 0.517647 & 1.235294 \tabularnewline
[11.8,12[ & 11.9 & 23 & 0.270588 & 0.788235 & 1.352941 \tabularnewline
[12,12.2[ & 12.1 & 9 & 0.105882 & 0.894118 & 0.529412 \tabularnewline
[12.2,12.4[ & 12.3 & 6 & 0.070588 & 0.964706 & 0.352941 \tabularnewline
[12.4,12.6] & 12.5 & 3 & 0.035294 & 1 & 0.176471 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42459&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][11.2,11.4[[/C][C]11.3[/C][C]6[/C][C]0.070588[/C][C]0.070588[/C][C]0.352941[/C][/ROW]
[ROW][C][11.4,11.6[[/C][C]11.5[/C][C]17[/C][C]0.2[/C][C]0.270588[/C][C]1[/C][/ROW]
[ROW][C][11.6,11.8[[/C][C]11.7[/C][C]21[/C][C]0.247059[/C][C]0.517647[/C][C]1.235294[/C][/ROW]
[ROW][C][11.8,12[[/C][C]11.9[/C][C]23[/C][C]0.270588[/C][C]0.788235[/C][C]1.352941[/C][/ROW]
[ROW][C][12,12.2[[/C][C]12.1[/C][C]9[/C][C]0.105882[/C][C]0.894118[/C][C]0.529412[/C][/ROW]
[ROW][C][12.2,12.4[[/C][C]12.3[/C][C]6[/C][C]0.070588[/C][C]0.964706[/C][C]0.352941[/C][/ROW]
[ROW][C][12.4,12.6][/C][C]12.5[/C][C]3[/C][C]0.035294[/C][C]1[/C][C]0.176471[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42459&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42459&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
[11.2,11.4[11.360.0705880.0705880.352941
[11.4,11.6[11.5170.20.2705881
[11.6,11.8[11.7210.2470590.5176471.235294
[11.8,12[11.9230.2705880.7882351.352941
[12,12.2[12.190.1058820.8941180.529412
[12.2,12.4[12.360.0705880.9647060.352941
[12.4,12.6]12.530.03529410.176471



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')