FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationSat, 14 Feb 2009 07:39:21 -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/2009/Feb/14/t1234622493lphkg2l37r1yby7.htm/, Retrieved Sun, 12 May 2024 09:06:45 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=37461, Retrieved Sun, 12 May 2024 09:06:45 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact219

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [De gemiddelde con...] [2009-02-07 16:05:33] [2387a6110ef8ef5fe47c1c814c0210d7]
- RMPD    [Histogram] [Gemiddelde consum...] [2009-02-14 14:39:21] [d41d8cd98f00b204e9800998ecf8427e] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
9.370
9.330
9.310
9.260
9.350
9.380
9.430
9.270
9.290
9.270
9.290
9.310
9.330
9.350
9.340
9.470
9.630
9.620
9.630
9.500
9.550
9.580
9.610
9.570
9.610
9.650
9.620
9.650
9.960
10.030
10.030
9.720
9.750
9.770
9.780
9.820
9.840
9.900
9.940
10.120
10.520
10.570
10.570
10.120
10.050
10.140
10.170
10.200
10.200
10.350
10.430
10.570
10.820
10.900
10.830
10.650
10.570
10.610
10.630
10.710
10.720
10.770
10.790
10.920
10.900
11.000
10.990
10.910
10.880
10.870
11.000
10.990
11.030
11.040
10.990

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=37461&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]2 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=37461&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=37461&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 time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[9.2,9.4[9.3140.1866670.1866670.933333
[9.4,9.6[9.560.080.2666670.4
[9.6,9.8[9.7120.160.4266670.8
[9.8,10[9.950.0666670.4933330.333333
[10,10.2[10.170.0933330.5866670.466667
[10.2,10.4[10.330.040.6266670.2
[10.4,10.6[10.560.080.7066670.4
[10.6,10.8[10.770.0933330.80.466667
[10.8,11[10.9110.1466670.9466670.733333
[11,11.2]11.140.05333310.266667

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[9.2,9.4[ & 9.3 & 14 & 0.186667 & 0.186667 & 0.933333 \tabularnewline
[9.4,9.6[ & 9.5 & 6 & 0.08 & 0.266667 & 0.4 \tabularnewline
[9.6,9.8[ & 9.7 & 12 & 0.16 & 0.426667 & 0.8 \tabularnewline
[9.8,10[ & 9.9 & 5 & 0.066667 & 0.493333 & 0.333333 \tabularnewline
[10,10.2[ & 10.1 & 7 & 0.093333 & 0.586667 & 0.466667 \tabularnewline
[10.2,10.4[ & 10.3 & 3 & 0.04 & 0.626667 & 0.2 \tabularnewline
[10.4,10.6[ & 10.5 & 6 & 0.08 & 0.706667 & 0.4 \tabularnewline
[10.6,10.8[ & 10.7 & 7 & 0.093333 & 0.8 & 0.466667 \tabularnewline
[10.8,11[ & 10.9 & 11 & 0.146667 & 0.946667 & 0.733333 \tabularnewline
[11,11.2] & 11.1 & 4 & 0.053333 & 1 & 0.266667 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=37461&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][9.2,9.4[[/C][C]9.3[/C][C]14[/C][C]0.186667[/C][C]0.186667[/C][C]0.933333[/C][/ROW]
[ROW][C][9.4,9.6[[/C][C]9.5[/C][C]6[/C][C]0.08[/C][C]0.266667[/C][C]0.4[/C][/ROW]
[ROW][C][9.6,9.8[[/C][C]9.7[/C][C]12[/C][C]0.16[/C][C]0.426667[/C][C]0.8[/C][/ROW]
[ROW][C][9.8,10[[/C][C]9.9[/C][C]5[/C][C]0.066667[/C][C]0.493333[/C][C]0.333333[/C][/ROW]
[ROW][C][10,10.2[[/C][C]10.1[/C][C]7[/C][C]0.093333[/C][C]0.586667[/C][C]0.466667[/C][/ROW]
[ROW][C][10.2,10.4[[/C][C]10.3[/C][C]3[/C][C]0.04[/C][C]0.626667[/C][C]0.2[/C][/ROW]
[ROW][C][10.4,10.6[[/C][C]10.5[/C][C]6[/C][C]0.08[/C][C]0.706667[/C][C]0.4[/C][/ROW]
[ROW][C][10.6,10.8[[/C][C]10.7[/C][C]7[/C][C]0.093333[/C][C]0.8[/C][C]0.466667[/C][/ROW]
[ROW][C][10.8,11[[/C][C]10.9[/C][C]11[/C][C]0.146667[/C][C]0.946667[/C][C]0.733333[/C][/ROW]
[ROW][C][11,11.2][/C][C]11.1[/C][C]4[/C][C]0.053333[/C][C]1[/C][C]0.266667[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=37461&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=37461&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
[9.2,9.4[9.3140.1866670.1866670.933333
[9.4,9.6[9.560.080.2666670.4
[9.6,9.8[9.7120.160.4266670.8
[9.8,10[9.950.0666670.4933330.333333
[10,10.2[10.170.0933330.5866670.466667
[10.2,10.4[10.330.040.6266670.2
[10.4,10.6[10.560.080.7066670.4
[10.6,10.8[10.770.0933330.80.466667
[10.8,11[10.9110.1466670.9466670.733333
[11,11.2]11.140.05333310.266667


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 12 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = 12 ; 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')