Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationWed, 20 Feb 2008 07:05:13 -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/Feb/20/t1203516377j4v4ym1xeuss347.htm/, Retrieved Sat, 11 May 2024 16:27:06 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=8428, Retrieved Sat, 11 May 2024 16:27:06 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact192
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [gemiddelde prijze...] [2008-02-13 11:07:13] [5bd616b4a87533bcb18cb67bbbb5ffe7]
- RMPD    [Histogram] [gemidelde prijzen...] [2008-02-20 14:05:13] [303435f2616c8b7fa1931e576f2293ac] [Current]
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Dataseries X:
20.18
20.19
20.3
20.47
20.47
20.46
20.46
20.46
20.52
20.64
20.65
20.66
20.66
20.66
20.67
20.71
20.73
20.73
20.74
20.74
20.75
20.75
20.77
20.78
20.78
20.8
20.84
20.85
20.86
20.86
20.86
20.86
20.9
20.92
20.95
20.95
20.95
20.96
21.1
21.18
21.19
21.19
21.19
21.19
21.19
21.21
21.22
21.22
21.22
21.23
21.41
21.42
21.43
21.44
21.44
21.44
21.48
21.53
21.54
21.54
21.54
21.54
21.54
21.54
21.54
21.54
21.54
21.54
21.57
21.6
21.61
21.6
21.6
21.71
21.75
21.84
21.85
21.92
21.92
21.93
22
22
21.99
22.01
22.01
22.06
22.03
22.05
22.05
22.06
22.06
22.13
22.06
22.25
22.28
22.18




Summary of compuational 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 compuational 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=8428&T=0

[TABLE]
[ROW][C]Summary of compuational 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=8428&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=8428&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 compuational 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
[20,20.2[20.120.0208330.0208330.104167
[20.2,20.4[20.310.0104170.031250.052083
[20.4,20.6[20.560.06250.093750.3125
[20.6,20.8[20.7160.1666670.2604170.833333
[20.8,21[20.9130.1354170.3958330.677083
[21,21.2[21.170.0729170.468750.364583
[21.2,21.4[21.350.0520830.5208330.260417
[21.4,21.6[21.5190.1979170.718750.989583
[21.6,21.8[21.760.06250.781250.3125
[21.8,22[21.960.06250.843750.3125
[22,22.2[22.1130.1354170.9791670.677083
[22.2,22.4]22.320.02083310.104167

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[20,20.2[ & 20.1 & 2 & 0.020833 & 0.020833 & 0.104167 \tabularnewline
[20.2,20.4[ & 20.3 & 1 & 0.010417 & 0.03125 & 0.052083 \tabularnewline
[20.4,20.6[ & 20.5 & 6 & 0.0625 & 0.09375 & 0.3125 \tabularnewline
[20.6,20.8[ & 20.7 & 16 & 0.166667 & 0.260417 & 0.833333 \tabularnewline
[20.8,21[ & 20.9 & 13 & 0.135417 & 0.395833 & 0.677083 \tabularnewline
[21,21.2[ & 21.1 & 7 & 0.072917 & 0.46875 & 0.364583 \tabularnewline
[21.2,21.4[ & 21.3 & 5 & 0.052083 & 0.520833 & 0.260417 \tabularnewline
[21.4,21.6[ & 21.5 & 19 & 0.197917 & 0.71875 & 0.989583 \tabularnewline
[21.6,21.8[ & 21.7 & 6 & 0.0625 & 0.78125 & 0.3125 \tabularnewline
[21.8,22[ & 21.9 & 6 & 0.0625 & 0.84375 & 0.3125 \tabularnewline
[22,22.2[ & 22.1 & 13 & 0.135417 & 0.979167 & 0.677083 \tabularnewline
[22.2,22.4] & 22.3 & 2 & 0.020833 & 1 & 0.104167 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=8428&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][20,20.2[[/C][C]20.1[/C][C]2[/C][C]0.020833[/C][C]0.020833[/C][C]0.104167[/C][/ROW]
[ROW][C][20.2,20.4[[/C][C]20.3[/C][C]1[/C][C]0.010417[/C][C]0.03125[/C][C]0.052083[/C][/ROW]
[ROW][C][20.4,20.6[[/C][C]20.5[/C][C]6[/C][C]0.0625[/C][C]0.09375[/C][C]0.3125[/C][/ROW]
[ROW][C][20.6,20.8[[/C][C]20.7[/C][C]16[/C][C]0.166667[/C][C]0.260417[/C][C]0.833333[/C][/ROW]
[ROW][C][20.8,21[[/C][C]20.9[/C][C]13[/C][C]0.135417[/C][C]0.395833[/C][C]0.677083[/C][/ROW]
[ROW][C][21,21.2[[/C][C]21.1[/C][C]7[/C][C]0.072917[/C][C]0.46875[/C][C]0.364583[/C][/ROW]
[ROW][C][21.2,21.4[[/C][C]21.3[/C][C]5[/C][C]0.052083[/C][C]0.520833[/C][C]0.260417[/C][/ROW]
[ROW][C][21.4,21.6[[/C][C]21.5[/C][C]19[/C][C]0.197917[/C][C]0.71875[/C][C]0.989583[/C][/ROW]
[ROW][C][21.6,21.8[[/C][C]21.7[/C][C]6[/C][C]0.0625[/C][C]0.78125[/C][C]0.3125[/C][/ROW]
[ROW][C][21.8,22[[/C][C]21.9[/C][C]6[/C][C]0.0625[/C][C]0.84375[/C][C]0.3125[/C][/ROW]
[ROW][C][22,22.2[[/C][C]22.1[/C][C]13[/C][C]0.135417[/C][C]0.979167[/C][C]0.677083[/C][/ROW]
[ROW][C][22.2,22.4][/C][C]22.3[/C][C]2[/C][C]0.020833[/C][C]1[/C][C]0.104167[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=8428&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=8428&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
[20,20.2[20.120.0208330.0208330.104167
[20.2,20.4[20.310.0104170.031250.052083
[20.4,20.6[20.560.06250.093750.3125
[20.6,20.8[20.7160.1666670.2604170.833333
[20.8,21[20.9130.1354170.3958330.677083
[21,21.2[21.170.0729170.468750.364583
[21.2,21.4[21.350.0520830.5208330.260417
[21.4,21.6[21.5190.1979170.718750.989583
[21.6,21.8[21.760.06250.781250.3125
[21.8,22[21.960.06250.843750.3125
[22,22.2[22.1130.1354170.9791670.677083
[22.2,22.4]22.320.02083310.104167



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')