Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationTue, 30 Sep 2008 03:32:32 -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/2008/Sep/30/t12227672162kmxhxzxh5h0ej5.htm/, Retrieved Thu, 09 May 2024 22:09:43 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=14823, Retrieved Thu, 09 May 2024 22:09:43 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact241
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] [d41d8cd98f00b204e9800998ecf8427e] [Current]
- RMPD      [Quartiles] [Kwartielen - gemi...] [2008-10-06 15:39:26] [74be16979710d4c4e7c6647856088456]
- RMPD      [Notched Boxplots] [Boxplot - gemidde...] [2008-10-06 16:51:51] [74be16979710d4c4e7c6647856088456]
-    D      [Histogram] [Histogram Prijs r...] [2009-08-03 19:00:31] [b61406873bd841e2047c054f7ebec102]
-   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:
	5.44
	5.44
	5.44
	5.44
	5.49
	5.49
	5.49
	5.49
	5.49
	5.49
	5.6
	5.6
	5.6
	5.6
	5.6
	5.6
	5.6
	5.67
	5.67
	5.67
	5.67
	5.67
	5.67
	5.67
	5.67
	5.67
	5.82
	5.82
	5.95
	5.95
	5.95
	5.95
	5.95
	5.95
	6.02
	6.02
	6.05
	6.05
	6.05
	6.12
	6.12
	6.12
	6.12
	6.12
	6.12
	6.12
	6.12
	6.17
	6.17
	6.17
	6.17
	6.17
	6.28
	6.27
	6.28
	6.28
	6.27
	6.27
	6.28
	6.59
	6.59
	6.59
	6.59
	6.59
	6.63
	6.63
	6.63
	6.63
	6.63
	6.63
	6.63
	6.63
	6.63




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=14823&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=14823&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=14823&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
[5.4,5.6[5.5100.1369860.1369860.684932
[5.6,5.8[5.7160.2191780.3561641.09589
[5.8,6[5.980.1095890.4657530.547945
[6,6.2[6.1180.2465750.7123291.232877
[6.2,6.4[6.370.095890.8082190.479452
[6.4,6.6[6.550.0684930.8767120.342466
[6.6,6.8]6.790.12328810.616438

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[5.4,5.6[ & 5.5 & 10 & 0.136986 & 0.136986 & 0.684932 \tabularnewline
[5.6,5.8[ & 5.7 & 16 & 0.219178 & 0.356164 & 1.09589 \tabularnewline
[5.8,6[ & 5.9 & 8 & 0.109589 & 0.465753 & 0.547945 \tabularnewline
[6,6.2[ & 6.1 & 18 & 0.246575 & 0.712329 & 1.232877 \tabularnewline
[6.2,6.4[ & 6.3 & 7 & 0.09589 & 0.808219 & 0.479452 \tabularnewline
[6.4,6.6[ & 6.5 & 5 & 0.068493 & 0.876712 & 0.342466 \tabularnewline
[6.6,6.8] & 6.7 & 9 & 0.123288 & 1 & 0.616438 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=14823&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][5.4,5.6[[/C][C]5.5[/C][C]10[/C][C]0.136986[/C][C]0.136986[/C][C]0.684932[/C][/ROW]
[ROW][C][5.6,5.8[[/C][C]5.7[/C][C]16[/C][C]0.219178[/C][C]0.356164[/C][C]1.09589[/C][/ROW]
[ROW][C][5.8,6[[/C][C]5.9[/C][C]8[/C][C]0.109589[/C][C]0.465753[/C][C]0.547945[/C][/ROW]
[ROW][C][6,6.2[[/C][C]6.1[/C][C]18[/C][C]0.246575[/C][C]0.712329[/C][C]1.232877[/C][/ROW]
[ROW][C][6.2,6.4[[/C][C]6.3[/C][C]7[/C][C]0.09589[/C][C]0.808219[/C][C]0.479452[/C][/ROW]
[ROW][C][6.4,6.6[[/C][C]6.5[/C][C]5[/C][C]0.068493[/C][C]0.876712[/C][C]0.342466[/C][/ROW]
[ROW][C][6.6,6.8][/C][C]6.7[/C][C]9[/C][C]0.123288[/C][C]1[/C][C]0.616438[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=14823&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=14823&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
[5.4,5.6[5.5100.1369860.1369860.684932
[5.6,5.8[5.7160.2191780.3561641.09589
[5.8,6[5.980.1095890.4657530.547945
[6,6.2[6.1180.2465750.7123291.232877
[6.2,6.4[6.370.095890.8082190.479452
[6.4,6.6[6.550.0684930.8767120.342466
[6.6,6.8]6.790.12328810.616438



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')