Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationSun, 07 Feb 2010 14:44:57 -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/2010/Feb/07/t1265579197ziatswvyk7bq4hi.htm/, Retrieved Thu, 25 Apr 2024 16:07:10 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=72865, Retrieved Thu, 25 Apr 2024 16:07:10 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W1
Estimated Impact218
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [] [2010-02-07 21:44:57] [6be1587f4b9760ef373df169f4355671] [Current]
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Dataseries X:
132,8
132,5
131,4
131,4
130,7
131,5
131,2
130,1
130,5
129
128,2
128,4
127,3
127,7
127
123,9
125,4
124,6
124,5
124,8
124,1
124,2
122,8
122,3
121,1
121,7
122,2
122,2
122,7
121,7
121
119,8
120,2
116,6
116
118
117,1
116,2
113,3
114,3
113,6
113
112,9
112,7
112,5
113
111,9
110,9
109,8
108,3
109,2
109,2
108,7
109,8
110,8
110
109,6
109,5
110,8
111,6
113,1
114,3
114,1
113,8
112,6
112,7
111,5
110,7
110,4
109,7
110
111,3
109
108,2
107,2
108,7
110,3
110,3
109,5
109,5
109,4
109,6
111,3
110
109,5
110,693
109,195
108,095
108,199
106,87
105,278
108,711
111,192
109,641
109,42
109,935
111,126
110,733
110,34
111,766
111,294
111,54
112,008
111,007
114,963
112,045
110,703
108,894
107,51
111,35
112,964
115,203
115,182
115,191
112,346
110,774
113,07
111,138
109,092
107,971
107,051




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=72865&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=72865&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=72865&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
[105,110[107.5320.2644630.2644630.052893
[110,115[112.5480.3966940.6611570.079339
[115,120[117.590.074380.7355370.014876
[120,125[122.5160.1322310.8677690.026446
[125,130[127.570.0578510.925620.01157
[130,135]132.590.0743810.014876

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[105,110[ & 107.5 & 32 & 0.264463 & 0.264463 & 0.052893 \tabularnewline
[110,115[ & 112.5 & 48 & 0.396694 & 0.661157 & 0.079339 \tabularnewline
[115,120[ & 117.5 & 9 & 0.07438 & 0.735537 & 0.014876 \tabularnewline
[120,125[ & 122.5 & 16 & 0.132231 & 0.867769 & 0.026446 \tabularnewline
[125,130[ & 127.5 & 7 & 0.057851 & 0.92562 & 0.01157 \tabularnewline
[130,135] & 132.5 & 9 & 0.07438 & 1 & 0.014876 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=72865&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][105,110[[/C][C]107.5[/C][C]32[/C][C]0.264463[/C][C]0.264463[/C][C]0.052893[/C][/ROW]
[ROW][C][110,115[[/C][C]112.5[/C][C]48[/C][C]0.396694[/C][C]0.661157[/C][C]0.079339[/C][/ROW]
[ROW][C][115,120[[/C][C]117.5[/C][C]9[/C][C]0.07438[/C][C]0.735537[/C][C]0.014876[/C][/ROW]
[ROW][C][120,125[[/C][C]122.5[/C][C]16[/C][C]0.132231[/C][C]0.867769[/C][C]0.026446[/C][/ROW]
[ROW][C][125,130[[/C][C]127.5[/C][C]7[/C][C]0.057851[/C][C]0.92562[/C][C]0.01157[/C][/ROW]
[ROW][C][130,135][/C][C]132.5[/C][C]9[/C][C]0.07438[/C][C]1[/C][C]0.014876[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=72865&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=72865&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
[105,110[107.5320.2644630.2644630.052893
[110,115[112.5480.3966940.6611570.079339
[115,120[117.590.074380.7355370.014876
[120,125[122.5160.1322310.8677690.026446
[125,130[127.570.0578510.925620.01157
[130,135]132.590.0743810.014876



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')