search for: suggeston

On 11/28/2006 11:50 AM, A.I. McLeod wrote: > Hi Duncan, Hi Ian. > > ccf(x,y) does not explain whether c(k)=cov(x(t),x(t+k)) or d(k)=cov(x(t),x(t-k)) is calculated. The following example demonstrates > that the c(k) definition is used: > ccf(c(-1,1,rep(0,8)),c(1,rep(0,9))) > However S-Plus acf uses the d(k) definition in their acf function. I don't think our code looks

Hi all, I take a simple dataset like this: -1.3 1 -1.5 -1 1.5 -2.5 3 -0.5 Now I want to count how many values there are between -2 and 2. The answer here would be 6. Can anyone do this with R? Thank you in advance. Gr. Bosken -- View this message in context: http://n4.nabble.com/Count-between-interval-tp1564537p1564537.html Sent from the R help mailing list archive at Nabble.com.

...ht change). I have already deleted from the data frame the variables that were all missing and for this I used the following code, which was kindly suggested by one of you: ## Data frame after removing any blank columns:dfQ <- dfQtemp[ , sapply(dfQtemp, function(x) !all(is.na(x)))] Any ideas or suggestons for deleting variables with partially missing data? Thanks and have a great weekend! Rita ===================================== "If you think education is expensive, try ignorance."--Derek Bok [[alternative HTML version deleted]]

...n menu on my * box. Internally the DTMF tones are present, (for xlite and * on same LAN), however calling in via the sip line from a pstn doesn't register any tones in asterisk. I have tried all the different DTMFMODE settings in the context for the sip.conf file, but nothing is helping. Any suggestons? 2) When I dial in from the pstn to the * box via the SIP line I can get into the * and on to the hard wired externsion. (I can't select manually see #1!). When I hand up the pstn * maintains the line, and keeps the line open. If answered the SIP xlite stays connected forever, and is not an...

Dear R-helpers, In my dataset I have two continuous variable (A and B) and one factor. I'm investigating the regression between the two variables usign the command lm(A ~ B, ...) but now I want to know the regression coefficient (r2) of A vs. B for every factors. I know that I can obtain this information with excel, but the factor have 68 levels...maybe [r] have a useful command. Thanks,