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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationSun, 13 Nov 2011 11:34:19 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Nov/13/t1321202070ir9ympw7lqqx1do.htm/, Retrieved Thu, 31 Oct 2024 23:46:11 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=141782, Retrieved Thu, 31 Oct 2024 23:46:11 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact128
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Central Tendency] [Arabica Price in ...] [2008-01-06 21:28:17] [74be16979710d4c4e7c6647856088456]
- RMPD  [Central Tendency] [] [2011-11-13 16:00:52] [71981af30b475eff259f311228330cd7]
- RMPD      [Histogram] [] [2011-11-13 16:34:19] [f04206f511735117c791d4a2bb2fa643] [Current]
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Dataseries X:
2293
2309
2299
2349
2374
2440
2485
2685
2803
2947
3066
3212
3116
3190
3193
3393
3316
3221
3246
3182
3150
3249
3192
3265
3142
3282
3326
3291
3343
3376
3307
3391
3389
3327
3258
3278
3269
3192
3413
3193
3122
3276
3122
3026
3015
3079
3035
3011
3045
3098
3018
3037
3057
3048
3014
2860
3014
3003
3015
2931




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' @ yule.wessa.net

\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' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=141782&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' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=141782&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=141782&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' @ yule.wessa.net







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[2200,2300[225020.0333330.0333330.000333
[2300,2400[235030.050.0833335e-04
[2400,2500[245020.0333330.1166670.000333
[2500,2600[2550000.1166670
[2600,2700[265010.0166670.1333330.000167
[2700,2800[2750000.1333330
[2800,2900[285020.0333330.1666670.000333
[2900,3000[295020.0333330.20.000333
[3000,3100[3050160.2666670.4666670.002667
[3100,3200[3150110.1833330.650.001833
[3200,3300[3250110.1833330.8333330.001833
[3300,3400[335090.150.9833330.0015
[3400,3500]345010.01666710.000167

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[2200,2300[ & 2250 & 2 & 0.033333 & 0.033333 & 0.000333 \tabularnewline
[2300,2400[ & 2350 & 3 & 0.05 & 0.083333 & 5e-04 \tabularnewline
[2400,2500[ & 2450 & 2 & 0.033333 & 0.116667 & 0.000333 \tabularnewline
[2500,2600[ & 2550 & 0 & 0 & 0.116667 & 0 \tabularnewline
[2600,2700[ & 2650 & 1 & 0.016667 & 0.133333 & 0.000167 \tabularnewline
[2700,2800[ & 2750 & 0 & 0 & 0.133333 & 0 \tabularnewline
[2800,2900[ & 2850 & 2 & 0.033333 & 0.166667 & 0.000333 \tabularnewline
[2900,3000[ & 2950 & 2 & 0.033333 & 0.2 & 0.000333 \tabularnewline
[3000,3100[ & 3050 & 16 & 0.266667 & 0.466667 & 0.002667 \tabularnewline
[3100,3200[ & 3150 & 11 & 0.183333 & 0.65 & 0.001833 \tabularnewline
[3200,3300[ & 3250 & 11 & 0.183333 & 0.833333 & 0.001833 \tabularnewline
[3300,3400[ & 3350 & 9 & 0.15 & 0.983333 & 0.0015 \tabularnewline
[3400,3500] & 3450 & 1 & 0.016667 & 1 & 0.000167 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=141782&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][2200,2300[[/C][C]2250[/C][C]2[/C][C]0.033333[/C][C]0.033333[/C][C]0.000333[/C][/ROW]
[ROW][C][2300,2400[[/C][C]2350[/C][C]3[/C][C]0.05[/C][C]0.083333[/C][C]5e-04[/C][/ROW]
[ROW][C][2400,2500[[/C][C]2450[/C][C]2[/C][C]0.033333[/C][C]0.116667[/C][C]0.000333[/C][/ROW]
[ROW][C][2500,2600[[/C][C]2550[/C][C]0[/C][C]0[/C][C]0.116667[/C][C]0[/C][/ROW]
[ROW][C][2600,2700[[/C][C]2650[/C][C]1[/C][C]0.016667[/C][C]0.133333[/C][C]0.000167[/C][/ROW]
[ROW][C][2700,2800[[/C][C]2750[/C][C]0[/C][C]0[/C][C]0.133333[/C][C]0[/C][/ROW]
[ROW][C][2800,2900[[/C][C]2850[/C][C]2[/C][C]0.033333[/C][C]0.166667[/C][C]0.000333[/C][/ROW]
[ROW][C][2900,3000[[/C][C]2950[/C][C]2[/C][C]0.033333[/C][C]0.2[/C][C]0.000333[/C][/ROW]
[ROW][C][3000,3100[[/C][C]3050[/C][C]16[/C][C]0.266667[/C][C]0.466667[/C][C]0.002667[/C][/ROW]
[ROW][C][3100,3200[[/C][C]3150[/C][C]11[/C][C]0.183333[/C][C]0.65[/C][C]0.001833[/C][/ROW]
[ROW][C][3200,3300[[/C][C]3250[/C][C]11[/C][C]0.183333[/C][C]0.833333[/C][C]0.001833[/C][/ROW]
[ROW][C][3300,3400[[/C][C]3350[/C][C]9[/C][C]0.15[/C][C]0.983333[/C][C]0.0015[/C][/ROW]
[ROW][C][3400,3500][/C][C]3450[/C][C]1[/C][C]0.016667[/C][C]1[/C][C]0.000167[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=141782&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=141782&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
[2200,2300[225020.0333330.0333330.000333
[2300,2400[235030.050.0833335e-04
[2400,2500[245020.0333330.1166670.000333
[2500,2600[2550000.1166670
[2600,2700[265010.0166670.1333330.000167
[2700,2800[2750000.1333330
[2800,2900[285020.0333330.1666670.000333
[2900,3000[295020.0333330.20.000333
[3000,3100[3050160.2666670.4666670.002667
[3100,3200[3150110.1833330.650.001833
[3200,3300[3250110.1833330.8333330.001833
[3300,3400[335090.150.9833330.0015
[3400,3500]345010.01666710.000167



Parameters (Session):
par1 = usa price ; par2 = www.ico.org ; par3 = Retail prices in importing Member countries in US cents per lb (Arabica, 1977/1 - 2006/12) ; par4 = 12 ;
Parameters (R input):
par1 = 11 ; 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.numeric(x[1])) {
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)
}
} else {
plot(mytab <- table(x),col=par2,main='Frequency Plot',xlab=xlab,ylab='Absolute Frequency')
}
dev.off()
if(is.numeric(x[1])) {
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')
} else {
mytab
reltab <- mytab / sum(mytab)
n <- length(mytab)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Frequency Table (Categorical Data)',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Category',header=TRUE)
a<-table.element(a,'Abs. Frequency',header=TRUE)
a<-table.element(a,'Rel. Frequency',header=TRUE)
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,labels(mytab)$x[i],header=TRUE)
a<-table.element(a,mytab[i])
a<-table.element(a,round(reltab[i],4))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')
}