Home » date » 2010 » Oct » 04 »

Stem-and-Leaf Plot

*The author of this computation has been verified*

R Software Module: /rwasp_histogram.wasp (opens new window with default values)

Title produced by software: Histogram

Date of computation: Mon, 04 Oct 2010 16:39:15 +0000

Cite this page as follows:

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2010/Oct/04/t128621045419clhnyenjzjrh2.htm/, Retrieved Mon, 04 Oct 2010 18:40:54 +0200

BibTeX entries for LaTeX users:

@Manual{KEY,
    author = {{YOUR NAME}},
    publisher = {Office for Research Development and Education},
    title = {Statistical Computations at FreeStatistics.org, URL http://www.freestatistics.org/blog/date/2010/Oct/04/t128621045419clhnyenjzjrh2.htm/},
    year = {2010},
}
@Manual{R,
    title = {R: A Language and Environment for Statistical Computing},
    author = {{R Development Core Team}},
    organization = {R Foundation for Statistical Computing},
    address = {Vienna, Austria},
    year = {2010},
    note = {{ISBN} 3-900051-07-0},
    url = {http://www.R-project.org},
}

Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords:

Dataseries X:

» Textbox « » Textfile « » CSV «

426,113 383,703 232,444 70,939 226,731 947,293 611,281 158,047 33,999 37,028 388,3 506,652 392,25 180,818 198,296 217,465 275,562 1030,944 57,47 136,452 556,277 213,361 274,482 220,553 236,71 260,642 2763,544 213,923 169,861 403,064 449,594 406,167 206,893 156,187 257,102 62,156 662,883 251,422 171,328 350,089 221,588 4,813 183,186 190,379 223,166 232,669 356,725 109,215 475,834 315,955 694,87 8,95 278,741 308,16 207,533 192,797 601,162 289,714 293,671 386,688 699,645 85,094 131,812 645,285 197,549 308,174 86,58 242,205 238,502 187,881 140,321 440,31 421,403 218,761 1305,923 137,55 262,517 348,821 150,034 64,016 261,596 259,7 171,26 203,077 249,148 211,655 252,64 438,555 239,89 401,915 216,886 184,641 380,155 653,641 313,906 366,936 236,302 229,641 235,577 103,898 263,906 241,171 216,548 295,281 193,299 204,386 257,567 136,813 240,755 59,609 213,511 380,531 242,344 250,407 183,613 191,835 266,79 etc...

Output produced by software:

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	'Sir Ronald Aylmer Fisher' @ 193.190.124.24

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[0,100[	50	13	0.093525	0.093525	0.000935
[100,200[	150	27	0.194245	0.28777	0.001942
[200,300[	250	54	0.388489	0.676259	0.003885
[300,400[	350	17	0.122302	0.798561	0.001223
[400,500[	450	13	0.093525	0.892086	0.000935
[500,600[	550	2	0.014388	0.906475	0.000144
[600,700[	650	7	0.05036	0.956835	0.000504
[700,800[	750	1	0.007194	0.964029	7.2e-05
[800,900[	850	0	0	0.964029	0
[900,1000[	950	1	0.007194	0.971223	7.2e-05
[1000,1100[	1050	1	0.007194	0.978417	7.2e-05
[1100,1200[	1150	0	0	0.978417	0
[1200,1300[	1250	0	0	0.978417	0
[1300,1400[	1350	1	0.007194	0.985612	7.2e-05
[1400,1500[	1450	0	0	0.985612	0
[1500,1600[	1550	0	0	0.985612	0
[1600,1700[	1650	0	0	0.985612	0
[1700,1800[	1750	0	0	0.985612	0
[1800,1900[	1850	0	0	0.985612	0
[1900,2000[	1950	0	0	0.985612	0
[2000,2100[	2050	0	0	0.985612	0
[2100,2200[	2150	0	0	0.985612	0
[2200,2300[	2250	0	0	0.985612	0
[2300,2400[	2350	0	0	0.985612	0
[2400,2500[	2450	0	0	0.985612	0
[2500,2600[	2550	0	0	0.985612	0
[2600,2700[	2650	0	0	0.985612	0
[2700,2800[	2750	1	0.007194	0.992806	7.2e-05
[2800,2900[	2850	0	0	0.992806	0
[2900,3000[	2950	0	0	0.992806	0
[3000,3100[	3050	0	0	0.992806	0
[3100,3200[	3150	0	0	0.992806	0
[3200,3300[	3250	0	0	0.992806	0
[3300,3400[	3350	0	0	0.992806	0
[3400,3500[	3450	0	0	0.992806	0
[3500,3600[	3550	0	0	0.992806	0
[3600,3700[	3650	0	0	0.992806	0
[3700,3800[	3750	0	0	0.992806	0
[3800,3900[	3850	0	0	0.992806	0
[3900,4000[	3950	0	0	0.992806	0
[4000,4100[	4050	0	0	0.992806	0
[4100,4200[	4150	0	0	0.992806	0
[4200,4300]	4250	1	0.007194	1	7.2e-05

Charts produced by software:

http://www.freestatistics.org/blog/date/2010/Oct/04/t128621045419clhnyenjzjrh2/1ll161286210352.png (open in new window)

http://www.freestatistics.org/blog/date/2010/Oct/04/t128621045419clhnyenjzjrh2/1ll161286210352.ps (open in new window)

Parameters (Session):

par1 = 40 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;

Parameters (R input):

par1 = 40 ; 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('http://www.xycoon.com/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')

}

This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 3.0 License.

Software written by Ed van Stee & Patrick Wessa

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