Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationWed, 14 Oct 2009 08:43:53 -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/14/t1255531472bnnnrccygrc1l16.htm/, Retrieved Sun, 05 May 2024 01:04:19 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=46445, Retrieved Sun, 05 May 2024 01:04:19 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W22
Estimated Impact122
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Histogram] [] [2009-10-14 14:22:15] [b6623a0531b43a362887826f077b4445]
-    D    [Histogram] [] [2009-10-14 14:43:53] [58d9ccda37eeb031a0ffa1e9ea016ece] [Current]
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Dataseries X:
4.26
4.26
4.07
4.26
4.4
4.46
4.34
4.18
4.11
3.98
3.85
3.66
3.59
3.57
3.76
3.6
3.43
3.26
3.3
3.31
3.14
3.3
3.49
3.39
3.37
3.54
3.7
3.96
4.03
4.02
4.04
3.92
3.79
3.83
3.76
3.82
4.06
4.11
4.01
4.22
4.34
4.64
4.62
4.44
4.39
4.42
4.28
4.41
4.25
4.23
4.23
4.37
4.51
4.84
4.85
4.58
4.56
4.46
4.26
3.87
4.13
4.24
4.03
3.93
4.03
4.12
3.92
3.77




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=46445&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=46445&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=46445&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
[3,3.2[3.110.0147060.0147060.073529
[3.2,3.4[3.360.0882350.1029410.441176
[3.4,3.6[3.550.0735290.1764710.367647
[3.6,3.8[3.770.1029410.2794120.514706
[3.8,4[3.990.1323530.4117650.661765
[4,4.2[4.1130.1911760.6029410.955882
[4.2,4.4[4.3140.2058820.8088241.029412
[4.4,4.6[4.590.1323530.9411760.661765
[4.6,4.8[4.720.0294120.9705880.147059
[4.8,5]4.920.02941210.147059

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[3,3.2[ & 3.1 & 1 & 0.014706 & 0.014706 & 0.073529 \tabularnewline
[3.2,3.4[ & 3.3 & 6 & 0.088235 & 0.102941 & 0.441176 \tabularnewline
[3.4,3.6[ & 3.5 & 5 & 0.073529 & 0.176471 & 0.367647 \tabularnewline
[3.6,3.8[ & 3.7 & 7 & 0.102941 & 0.279412 & 0.514706 \tabularnewline
[3.8,4[ & 3.9 & 9 & 0.132353 & 0.411765 & 0.661765 \tabularnewline
[4,4.2[ & 4.1 & 13 & 0.191176 & 0.602941 & 0.955882 \tabularnewline
[4.2,4.4[ & 4.3 & 14 & 0.205882 & 0.808824 & 1.029412 \tabularnewline
[4.4,4.6[ & 4.5 & 9 & 0.132353 & 0.941176 & 0.661765 \tabularnewline
[4.6,4.8[ & 4.7 & 2 & 0.029412 & 0.970588 & 0.147059 \tabularnewline
[4.8,5] & 4.9 & 2 & 0.029412 & 1 & 0.147059 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=46445&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][3,3.2[[/C][C]3.1[/C][C]1[/C][C]0.014706[/C][C]0.014706[/C][C]0.073529[/C][/ROW]
[ROW][C][3.2,3.4[[/C][C]3.3[/C][C]6[/C][C]0.088235[/C][C]0.102941[/C][C]0.441176[/C][/ROW]
[ROW][C][3.4,3.6[[/C][C]3.5[/C][C]5[/C][C]0.073529[/C][C]0.176471[/C][C]0.367647[/C][/ROW]
[ROW][C][3.6,3.8[[/C][C]3.7[/C][C]7[/C][C]0.102941[/C][C]0.279412[/C][C]0.514706[/C][/ROW]
[ROW][C][3.8,4[[/C][C]3.9[/C][C]9[/C][C]0.132353[/C][C]0.411765[/C][C]0.661765[/C][/ROW]
[ROW][C][4,4.2[[/C][C]4.1[/C][C]13[/C][C]0.191176[/C][C]0.602941[/C][C]0.955882[/C][/ROW]
[ROW][C][4.2,4.4[[/C][C]4.3[/C][C]14[/C][C]0.205882[/C][C]0.808824[/C][C]1.029412[/C][/ROW]
[ROW][C][4.4,4.6[[/C][C]4.5[/C][C]9[/C][C]0.132353[/C][C]0.941176[/C][C]0.661765[/C][/ROW]
[ROW][C][4.6,4.8[[/C][C]4.7[/C][C]2[/C][C]0.029412[/C][C]0.970588[/C][C]0.147059[/C][/ROW]
[ROW][C][4.8,5][/C][C]4.9[/C][C]2[/C][C]0.029412[/C][C]1[/C][C]0.147059[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=46445&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=46445&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
[3,3.2[3.110.0147060.0147060.073529
[3.2,3.4[3.360.0882350.1029410.441176
[3.4,3.6[3.550.0735290.1764710.367647
[3.6,3.8[3.770.1029410.2794120.514706
[3.8,4[3.990.1323530.4117650.661765
[4,4.2[4.1130.1911760.6029410.955882
[4.2,4.4[4.3140.2058820.8088241.029412
[4.4,4.6[4.590.1323530.9411760.661765
[4.6,4.8[4.720.0294120.9705880.147059
[4.8,5]4.920.02941210.147059



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')