Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationWed, 07 Oct 2009 09:41:33 -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/Oct/07/t1254930178a4p0okyjgebsy5m.htm/, Retrieved Sun, 28 Apr 2024 03:34:19 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=44621, Retrieved Sun, 28 Apr 2024 03:34:19 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W1
Estimated Impact106
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Gemiddelde prijs ...] [2009-10-07 15:41:33] [93f7fd88d04bfc03ecae616214d88989] [Current]
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Dataseries X:
2.46
2.46
2.45
2.45
2.46
2.43
2.44
2.44
2.43
2.43
2.42
2.43
2.43
2.42
2.41
2.42
2.39
2.4
2.39
2.4
2.41
2.41
2.41
2.41
2.42
2.43
2.43
2.43
2.44
2.42
2.44
2.42
2.42
2.42
2.43
2.44
2.43
2.44
2.44
2.45
2.45
2.43
2.44
2.45
2.46
2.44
2.43
2.42
2.41
2.43
2.41
2.43
2.43
2.44
2.43
2.44
2.43
2.44
2.44
2.43
2.43
2.43
2.43
2.44
2.47
2.48
2.49
2.5
2.51
2.49
2.49
2.48
2.48
2.48
2.5
2.5
2.5
2.5
2.5
2.48
2.49
2.48
2.5
2.5
2.49
2.48
2.47
2.46
2.43
2.42
2.43
2.45
2.45
2.46
2.44
2.45
2.45
2.42
2.41
2.39
2.39
2.38
2.37
2.37
2.38
2.39
2.41
2.42
2.48
2.53
2.56
2.56
2.53
2.57
2.56
2.57
2.58
2.57
2.6
2.63
2.72
2.83
2.9
2.92
2.94
2.95
2.98
3.02
3.16
3.2
3.18
3.17
3.19




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=44621&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=44621&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=44621&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[2.3,2.4[2.3590.0676690.0676690.676692
[2.4,2.5[2.45910.6842110.751886.842105
[2.5,2.6[2.55180.1353380.8872181.353383
[2.6,2.7[2.6520.0150380.9022560.150376
[2.7,2.8[2.7510.0075190.9097740.075188
[2.8,2.9[2.8510.0075190.9172930.075188
[2.9,3[2.9550.0375940.9548870.37594
[3,3.1[3.0510.0075190.9624060.075188
[3.1,3.2]3.1550.03759410.37594

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[2.3,2.4[ & 2.35 & 9 & 0.067669 & 0.067669 & 0.676692 \tabularnewline
[2.4,2.5[ & 2.45 & 91 & 0.684211 & 0.75188 & 6.842105 \tabularnewline
[2.5,2.6[ & 2.55 & 18 & 0.135338 & 0.887218 & 1.353383 \tabularnewline
[2.6,2.7[ & 2.65 & 2 & 0.015038 & 0.902256 & 0.150376 \tabularnewline
[2.7,2.8[ & 2.75 & 1 & 0.007519 & 0.909774 & 0.075188 \tabularnewline
[2.8,2.9[ & 2.85 & 1 & 0.007519 & 0.917293 & 0.075188 \tabularnewline
[2.9,3[ & 2.95 & 5 & 0.037594 & 0.954887 & 0.37594 \tabularnewline
[3,3.1[ & 3.05 & 1 & 0.007519 & 0.962406 & 0.075188 \tabularnewline
[3.1,3.2] & 3.15 & 5 & 0.037594 & 1 & 0.37594 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=44621&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][2.3,2.4[[/C][C]2.35[/C][C]9[/C][C]0.067669[/C][C]0.067669[/C][C]0.676692[/C][/ROW]
[ROW][C][2.4,2.5[[/C][C]2.45[/C][C]91[/C][C]0.684211[/C][C]0.75188[/C][C]6.842105[/C][/ROW]
[ROW][C][2.5,2.6[[/C][C]2.55[/C][C]18[/C][C]0.135338[/C][C]0.887218[/C][C]1.353383[/C][/ROW]
[ROW][C][2.6,2.7[[/C][C]2.65[/C][C]2[/C][C]0.015038[/C][C]0.902256[/C][C]0.150376[/C][/ROW]
[ROW][C][2.7,2.8[[/C][C]2.75[/C][C]1[/C][C]0.007519[/C][C]0.909774[/C][C]0.075188[/C][/ROW]
[ROW][C][2.8,2.9[[/C][C]2.85[/C][C]1[/C][C]0.007519[/C][C]0.917293[/C][C]0.075188[/C][/ROW]
[ROW][C][2.9,3[[/C][C]2.95[/C][C]5[/C][C]0.037594[/C][C]0.954887[/C][C]0.37594[/C][/ROW]
[ROW][C][3,3.1[[/C][C]3.05[/C][C]1[/C][C]0.007519[/C][C]0.962406[/C][C]0.075188[/C][/ROW]
[ROW][C][3.1,3.2][/C][C]3.15[/C][C]5[/C][C]0.037594[/C][C]1[/C][C]0.37594[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=44621&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=44621&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
[2.3,2.4[2.3590.0676690.0676690.676692
[2.4,2.5[2.45910.6842110.751886.842105
[2.5,2.6[2.55180.1353380.8872181.353383
[2.6,2.7[2.6520.0150380.9022560.150376
[2.7,2.8[2.7510.0075190.9097740.075188
[2.8,2.9[2.8510.0075190.9172930.075188
[2.9,3[2.9550.0375940.9548870.37594
[3,3.1[3.0510.0075190.9624060.075188
[3.1,3.2]3.1550.03759410.37594



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')