It seems to me that you are using polygon in a wrong way.
What you probably need could be something like:
polygon(c(rev(t$z), t$z),
c(rep(0, nrow(t)), t$ht), col=2, border=NA)
Stefano
-Messaggio originale-
Da: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED] conto di LL
Inviato:
try also this
dfr$score-factor(dfr$var3 %in% sort(unique(dfr$var3), decr=T)[1:2] * dfr$var3,
labels=c(low, mid, high))
Hope this helps,
Stefano
-Messaggio originale-
Da: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED] conto di Lauri Nikkinen
Inviato: venerdì 18 maggio
Oats[Oats$Variety %in% c(Victory, Golden Rain),]
or
subset(Oats, Variety %in% c(Victory, Golden Rain))
Stefano
-Messaggio originale-
Da: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED] conto di elyakhlifi
mustapha
Inviato: lunedì 23 aprile 2007 9.56
A: R-help@stat.math.ethz.ch
Oggetto: [R]
I guess you need %% and %/%
try
513 %/% 100
[1] 5
513 %% 100
[1] 13
?%%
Stefano
-Messaggio originale-
Da: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED] conto di Schmitt, Corinna
Inviato: venerdì 30 marzo 2007 15.34
A: r-help@stat.math.ethz.ch
Oggetto: [R] math-operations
Hallo
you could try mapply
mydata2-mapply([, mydata, lapply(mydata, function(x) !x %in% A))
mydata2[[1]]-A #to replace the obviously deleted elements of A
mydata2
mydata2[[1]]
mydata2[[2]]
mydata2[[3]]
mydata2[[4]]
Stefano
-Messaggio originale-
Da: [EMAIL PROTECTED]
[mailto:[EMAIL
Perhaps using 'ave' and 'cut':
df - data.frame(x=runif(100, 0.1, 1), y=rnorm(100, 0.2, 0.6))
df$xcut-cut(df$x, seq(0, 1, 0.1))
df$z-ave(df$y, df$xcut)
df[order(df$x),]
Stefano
-Messaggio originale-
Da: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED] conto di
[EMAIL PROTECTED]
Inviato:
assuming that the rows are sorted correctly
dat
id x y
1 50 1647685 4815259
2 50 1647546 4815196
3 50 1647454 4815294
4 50 1647405 4815347
5 50 1647292 4815552
6 50 1647737 4815410
7 74 1647555 4815201
8 74 1647464 4815023
9 74 1646970 4815129
10 74 1646895 4815264
11 74
could it be
dat[unlist(tapply(1:nrow(dat), ind, range)),]
?
stefano
-Messaggio originale-
Da: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED] conto di
Mauricio Cardeal
Inviato: 26 July, 2006 14:22
A: r-help@stat.math.ethz.ch
Oggetto: [R] the first and last case
You need lapply or sapply
for example:
sapply(yourlist, length)
then you can do
subset(yourlist, sapply(yourlist, length) yourlength)
Stefano
-Messaggio originale-
Da: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED] conto di Benjamin Otto
Inviato: 19 May, 2006 12:10
A:
PROTECTED]
[mailto:[EMAIL PROTECTED] conto di
Guazzetti Stefano
Inviato: Thursday, May 04, 2006 07:55 AM
A: [EMAIL PROTECTED]; [EMAIL PROTECTED]
Cc: r-help@stat.math.ethz.ch
Oggetto: [R] R: [Re:] function to replace missing values with median
value?]]
there is also
there is also a replace function
-Messaggio originale-
Da: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED] conto di
[EMAIL PROTECTED]
Inviato: Thursday, May 04, 2006 07:31 AM
A: [EMAIL PROTECTED]
Cc: r-help@stat.math.ethz.ch
Oggetto: [R] [Re:] function to replace
Take a look at the scales argument in dotpolot.
Maybe you need something like:
position-exp(-5:0)/(1+exp(-5:0))
dotplot(type~freq/(3027-freq),
scales=list(x=list(log=T,
at=position, lab=round(position, 3))) )
Stefano
-Messaggio originale-
Da: [EMAIL PROTECTED]
perhaps you are looking at something like
plot(0, xlim=c(0,20), xaxt=n)
axis(1, at=pretty(0:20, 10))
Stefano
-Messaggio originale-
Da: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED] conto di Subhabrata
Inviato: venerdì 10 febbraio 2006 7.05
A: r-help
Cc: [EMAIL PROTECTED]
Oggetto: [R] Fw:
Dear Bernhard,
if I understand correctly your question
may be you want something like
df-data.frame(x=sample(1:10, 100, repl=T),
y=sample(1:5, 100, repl=T))
subset(df, x%in%y)
Regards,
Stefano
-Messaggio originale-
Da: [EMAIL PROTECTED]
[mailto:[EMAIL
try:
plot(x, y, type=l, xlab=Months,
xaxt=n, ylab=Y values)
axis(1, at=0:5*6)
Stefano
-Messaggio originale-
Da: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED] conto di Massimiliano
Tripoli
Inviato: mercoledì 15 giugno 2005 10.35
A: r-help@stat.math.ethz.ch
what about using mapply?
splitted.value-with(x.1, split(VALUE, GROUP))
splitted.freq-with(x.1, split(FREQUENCY, GROUP))
mapply(weighted.mean, splitted.value, w=splitted.freq)
Stefano
-Messaggio originale-
Da: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED] conto di
[EMAIL
Dear all,
curve(x^3*(1-x)^7, from = 0, to = 1)
works as expected but, omitting the xlim or the to
and from arguments and calling curve more than once:
par(mfrow = c(2,2))
for (i in 1:4)
curve(x^3*(1-x)^7)
gives an expected (al least to me) result.
Note also that a pu object is returned by
Hi,
looking at ?plot.density you will find a zero.line argument:
set it to FALSE and no gray lines will appear in the plot.
plot(density(y), zero.line = F, main= , ann = F,
xlim = c(0, 4), ylim = c(0, 1), lty = 2, col = 4, axes = F)
#and the add
mtext(side = 1, line = 0, text = Environmental
Assuming your data.frame is called data
data[data$PUNTAR==c(IX49,IX48),]
is probably what you want
Stefano
-Messaggio originale-
Da: Luis Rideau Cruz [mailto:[EMAIL PROTECTED]
Inviato: venerdì 23 luglio 2004 15.37
A: [EMAIL PROTECTED]
Oggetto: [R] retrieve rows from frame
sorry for my previus (WRONG)
answer, as someone already pointed out
a solution could be
subset(data, PUNTAR==c(IX49,IX48))
-Messaggio originale-
Da: Guazzetti Stefano
Inviato: venerdì 23 luglio 2004 15.55
A: 'Luis Rideau Cruz'; [EMAIL PROTECTED]
Oggetto: R: [R] retrieve rows from
: venerdì 23 luglio 2004 16.30
A: Guazzetti Stefano
Cc: Luis Rideau Cruz; [EMAIL PROTECTED]
Oggetto: Re: R: [R] retrieve rows from frame assuming criterion
[corrected]
On Fri, 23 Jul 2004, Guazzetti Stefano wrote:
sorry for my previus (WRONG)
answer, as someone already pointed out
You should consider prop.test or binom.test.
The problem you will find is that these functions are
not intended to do what you want but to give you one
confidence interval at a time.
However a starting point could be :
I-sample(1:50) #the numerator
N-sample(50:200, 50) #the denominator
consider a cutpoint of 20
x-runif(100, min=1, max=50)
as.integer(x 20)
Stefano
-Messaggio originale-
Da: Doran, Harold [mailto:[EMAIL PROTECTED]
Inviato: mercoledì 7 luglio 2004 14.57
A: [EMAIL PROTECTED]
Oggetto: [R] Creating Binary Outcomes from a continuous variable
Dear
Maybe you want something like:
x-rnorm(1000)
hist(x, breaks=100,
col=ifelse(abs((hist(x, breaks=100, main=))$breaks) 1.669,
4,2))
see also the density argument in ?hist
Stefano
-Messaggio originale-
Da: Martin Olivier [mailto:[EMAIL PROTECTED]
Inviato: venerdì 7 maggio 2004 14.40
You probably mean something like:
ti - 1:1000
e1 - rnorm(1000)
e2 - rnorm(1000)
x - 0.0001*ti+e1
y2 - -2+x+e2
y - ifelse(y20,1,0)
plot(x, y, pch = 16, col = darkblue,
main = expression(paste(Scatter diagram of ,
italic(y[t]), against , italic(x[t]))),
xlab =
trellis.device(bg=white, color=F)
before your call to splom could make what you want but
take also a look at
?trellis.par.set
Stefano
-Messaggio originale-
Da: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED]
Inviato: mercoledì 3 marzo 2004 12.10
A: r-help
Oggetto: [R] Changing
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