Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationThu, 12 Feb 2009 13:13:00 -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/2009/Feb/12/t12344696403m7y3mq6vfk79mt.htm/, Retrieved Fri, 10 May 2024 07:43:28 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=37415, Retrieved Fri, 10 May 2024 07:43:28 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsGeeft de gemiddelde consumptieprijs weer van fototoestellen in België
Estimated Impact175
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [gemiddelde consum...] [2009-02-12 20:13:00] [d41d8cd98f00b204e9800998ecf8427e] [Current]
-         [Histogram] [Frequentietabel p...] [2009-02-16 13:08:27] [74be16979710d4c4e7c6647856088456]
-   PD      [Histogram] [Gemiddelde Consum...] [2009-02-16 13:11:12] [74be16979710d4c4e7c6647856088456]
-             [Histogram] [Dorien Storms fot...] [2009-04-28 13:51:41] [74be16979710d4c4e7c6647856088456]
-    D      [Histogram] [fototoestellen Do...] [2009-04-28 13:49:12] [74be16979710d4c4e7c6647856088456]
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Dataseries X:
158,8
158,8
157,63
157,8
156,77
156,57
157,33
157,26
157,49
157,68
158,23
158,04
158,17
158,18
159,71
158,7
158,5
158,15
157,69
157,69
158,2
159,25
158,71
158,75
158,75
158,03
157,88
157,47
157,06
156,8
156,76
156,75
156,66
155,92
156,1
156,43
157,39
157,39
157,55
157,75
156,79
156,24
156,8
156,8
156,2
155,25
154,81
154,94
154,97
154,93
149,62
148,6
146,27
145,87
144,23
144,23
142,22
138,85
138,54
137,64
137,38
137,38
136,1
133,58
132,72
130,59
129,23
129,22
126,62
125,83
125,54
125,55
125,53




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=37415&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=37415&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=37415&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
[125,130[127.570.095890.095890.019178
[130,135[132.530.0410960.1369860.008219
[135,140[137.560.0821920.2191780.016438
[140,145[142.530.0410960.2602740.008219
[145,150[147.540.0547950.3150680.010959
[150,155[152.540.0547950.3698630.010959
[155,160]157.5460.63013710.126027

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[125,130[ & 127.5 & 7 & 0.09589 & 0.09589 & 0.019178 \tabularnewline
[130,135[ & 132.5 & 3 & 0.041096 & 0.136986 & 0.008219 \tabularnewline
[135,140[ & 137.5 & 6 & 0.082192 & 0.219178 & 0.016438 \tabularnewline
[140,145[ & 142.5 & 3 & 0.041096 & 0.260274 & 0.008219 \tabularnewline
[145,150[ & 147.5 & 4 & 0.054795 & 0.315068 & 0.010959 \tabularnewline
[150,155[ & 152.5 & 4 & 0.054795 & 0.369863 & 0.010959 \tabularnewline
[155,160] & 157.5 & 46 & 0.630137 & 1 & 0.126027 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=37415&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][125,130[[/C][C]127.5[/C][C]7[/C][C]0.09589[/C][C]0.09589[/C][C]0.019178[/C][/ROW]
[ROW][C][130,135[[/C][C]132.5[/C][C]3[/C][C]0.041096[/C][C]0.136986[/C][C]0.008219[/C][/ROW]
[ROW][C][135,140[[/C][C]137.5[/C][C]6[/C][C]0.082192[/C][C]0.219178[/C][C]0.016438[/C][/ROW]
[ROW][C][140,145[[/C][C]142.5[/C][C]3[/C][C]0.041096[/C][C]0.260274[/C][C]0.008219[/C][/ROW]
[ROW][C][145,150[[/C][C]147.5[/C][C]4[/C][C]0.054795[/C][C]0.315068[/C][C]0.010959[/C][/ROW]
[ROW][C][150,155[[/C][C]152.5[/C][C]4[/C][C]0.054795[/C][C]0.369863[/C][C]0.010959[/C][/ROW]
[ROW][C][155,160][/C][C]157.5[/C][C]46[/C][C]0.630137[/C][C]1[/C][C]0.126027[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=37415&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=37415&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
[125,130[127.570.095890.095890.019178
[130,135[132.530.0410960.1369860.008219
[135,140[137.560.0821920.2191780.016438
[140,145[142.530.0410960.2602740.008219
[145,150[147.540.0547950.3150680.010959
[150,155[152.540.0547950.3698630.010959
[155,160]157.5460.63013710.126027



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')