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 computationFri, 26 Dec 2008 05:22:09 -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/2008/Dec/26/t1230294189c8667azkpw05ft2.htm/, Retrieved Sat, 18 May 2024 23:06:19 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=36617, Retrieved Sat, 18 May 2024 23:06:19 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsPaper - Histogram - Electrische apparaten
Estimated Impact225
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Histogram] [Paper - Histogram...] [2007-11-19 21:20:28] [5343e105a400b9e32bf6f011133bbaf4]
-   PD    [Histogram] [Paper - Histogram...] [2008-12-26 12:22:09] [3efbb18563b4564408d69b3c9a8e9a6e] [Current]
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Dataseries X:
105.5
106.4
117.9
89.7
88.5
106.4
61.4
92.3
95.5
92.5
89.6
84.3
76.3
80.7
96.3
81
82.9
90.3
74.8
70.1
86.7
86.4
89.9
88.1
78.8
81.1
85.4
82.6
80.3
81.2
68
67.4
91.3
94.9
82.8
88.6
73.1
76.7
93.2
84.9
83.8
93.5
91.9
69.6
87
90.2
82.7
91.4
74.6
76.1
87.1
78.4
81.3
99.3
71
73.2
95.6
84
90.8
93.6
80.9
84.4
97.3
83.5
88.8
100.7
69.4
74.6
96.6
96.6
93.1
91.8
85.7
79.1
91.3
84.2
85.8
90
76.6
81.3




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=36617&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]2 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=36617&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36617&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 time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[60,70[6550.06250.06250.00625
[70,80[75140.1750.23750.0175
[80,90[85340.4250.66250.0425
[90,100[95220.2750.93750.0275
[100,110[10540.050.98750.005
[110,120[11510.012510.00125

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[60,70[ & 65 & 5 & 0.0625 & 0.0625 & 0.00625 \tabularnewline
[70,80[ & 75 & 14 & 0.175 & 0.2375 & 0.0175 \tabularnewline
[80,90[ & 85 & 34 & 0.425 & 0.6625 & 0.0425 \tabularnewline
[90,100[ & 95 & 22 & 0.275 & 0.9375 & 0.0275 \tabularnewline
[100,110[ & 105 & 4 & 0.05 & 0.9875 & 0.005 \tabularnewline
[110,120[ & 115 & 1 & 0.0125 & 1 & 0.00125 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=36617&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][60,70[[/C][C]65[/C][C]5[/C][C]0.0625[/C][C]0.0625[/C][C]0.00625[/C][/ROW]
[ROW][C][70,80[[/C][C]75[/C][C]14[/C][C]0.175[/C][C]0.2375[/C][C]0.0175[/C][/ROW]
[ROW][C][80,90[[/C][C]85[/C][C]34[/C][C]0.425[/C][C]0.6625[/C][C]0.0425[/C][/ROW]
[ROW][C][90,100[[/C][C]95[/C][C]22[/C][C]0.275[/C][C]0.9375[/C][C]0.0275[/C][/ROW]
[ROW][C][100,110[[/C][C]105[/C][C]4[/C][C]0.05[/C][C]0.9875[/C][C]0.005[/C][/ROW]
[ROW][C][110,120[[/C][C]115[/C][C]1[/C][C]0.0125[/C][C]1[/C][C]0.00125[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=36617&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36617&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
[60,70[6550.06250.06250.00625
[70,80[75140.1750.23750.0175
[80,90[85340.4250.66250.0425
[90,100[95220.2750.93750.0275
[100,110[10540.050.98750.005
[110,120[11510.012510.00125



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)
bitmap(file='test1.png')
if (is.na(par1)) {
myhist<-hist(x,col=par2)
} else {
if (par1 < 0) par1 <- 3
if (par1 > 50) par1 <- 50
myhist<-hist(x,breaks=par1,col=par2)
}
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
for (i in 1:(length(myhist$breaks)-1)) {
a<-table.row.start(a)
dum <- paste('[',myhist$breaks[i],sep='')
dum <- paste(dum,myhist$breaks[i+1],sep=',')
dum <- paste(dum,'[',sep='')
a<-table.element(a,dum,header=TRUE)
a<-table.element(a,myhist$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')