Free Statistics

of Irreproducible Research!

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationSat, 18 Dec 2010 14:05:21 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/18/t12926810140zipi0qlaatt9uw.htm/, Retrieved Tue, 30 Apr 2024 02:45:27 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=111976, Retrieved Tue, 30 Apr 2024 02:45:27 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact136
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Histogram] [histogram] [2009-12-11 15:02:42] [f7fc9270f813d017f9fa5b506fdc7682]
-   PD    [Histogram] [Histogram oliepro...] [2010-12-18 14:05:21] [8f110cf3e3846d42560df9b5835185a6] [Current]
-    D      [Histogram] [Histogram oliepro...] [2010-12-18 14:08:29] [a8a0ff0853b70f438be515083758c362]
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Dataseries X:
78.33
78.21
78.94
77.94
77.31
75.75
77.73
77.90
77.45
77.46
77.97
77.23
76.56
76.70
76.51
76.03
76.69
76.38
76.80
76.63
77.17
78.63
78.89
76.94
77.50
79.27
79.77
78.62
78.60
77.88
78.71
79.27
80.12
81.12
81.48
82.81
82.39
82.41
82.20
81.99
81.61
83.51
84.05
82.99
83.54
84.44
84.24
83.88
84.17
84.59
84.76
85.14
85.22
84.77
84.50
84.56
83.79
83.96
84.80
84.89
84.78
84.80
84.44
84.65
84.22
84.08
85.29
85.00
84.63
84.92
84.61
84.50
84.29
84.50
84.41
84.71
84.21
83.86
84.40
83.71
84.42
85.26
85.08
85.65
85.74
85.89
86.08
85.49
85.97
85.84
86.72
85.42
83.87
85.45
85.35
84.27
83.13
83.79
83.70
83.76
83.47
83.78
84.83
84.43
84.90
85.36
85.49
85.29




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=111976&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=111976&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=111976&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
[74,76[7510.0092590.0092590.00463
[76,78[77200.1851850.1944440.092593
[78,80[79110.1018520.2962960.050926
[80,82[8150.0462960.3425930.023148
[82,84[83190.1759260.5185190.087963
[84,86[85500.4629630.9814810.231481
[86,88]8720.01851910.009259

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[74,76[ & 75 & 1 & 0.009259 & 0.009259 & 0.00463 \tabularnewline
[76,78[ & 77 & 20 & 0.185185 & 0.194444 & 0.092593 \tabularnewline
[78,80[ & 79 & 11 & 0.101852 & 0.296296 & 0.050926 \tabularnewline
[80,82[ & 81 & 5 & 0.046296 & 0.342593 & 0.023148 \tabularnewline
[82,84[ & 83 & 19 & 0.175926 & 0.518519 & 0.087963 \tabularnewline
[84,86[ & 85 & 50 & 0.462963 & 0.981481 & 0.231481 \tabularnewline
[86,88] & 87 & 2 & 0.018519 & 1 & 0.009259 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=111976&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][74,76[[/C][C]75[/C][C]1[/C][C]0.009259[/C][C]0.009259[/C][C]0.00463[/C][/ROW]
[ROW][C][76,78[[/C][C]77[/C][C]20[/C][C]0.185185[/C][C]0.194444[/C][C]0.092593[/C][/ROW]
[ROW][C][78,80[[/C][C]79[/C][C]11[/C][C]0.101852[/C][C]0.296296[/C][C]0.050926[/C][/ROW]
[ROW][C][80,82[[/C][C]81[/C][C]5[/C][C]0.046296[/C][C]0.342593[/C][C]0.023148[/C][/ROW]
[ROW][C][82,84[[/C][C]83[/C][C]19[/C][C]0.175926[/C][C]0.518519[/C][C]0.087963[/C][/ROW]
[ROW][C][84,86[[/C][C]85[/C][C]50[/C][C]0.462963[/C][C]0.981481[/C][C]0.231481[/C][/ROW]
[ROW][C][86,88][/C][C]87[/C][C]2[/C][C]0.018519[/C][C]1[/C][C]0.009259[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=111976&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=111976&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
[74,76[7510.0092590.0092590.00463
[76,78[77200.1851850.1944440.092593
[78,80[79110.1018520.2962960.050926
[80,82[8150.0462960.3425930.023148
[82,84[83190.1759260.5185190.087963
[84,86[85500.4629630.9814810.231481
[86,88]8720.01851910.009259



Parameters (Session):
par1 = 6 ; par2 = white ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = 6 ; par2 = white ; 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')