Dear all,
I apologize for the newbie question, but I'm stuck.
I have a data frame in the following form:
dat<-as.data.frame(cbind(c("a","a","a","b","b"), c(1,2,3,3,2),c(4,3,5,4,4)))
I need a way to generate a new dataframe with the average for each factor.
The result should look like:
res<-as.
Dear all,
Let's say I have the following data.frame:
dat<-data.frame(x=rnorm(100), y=rnorm(100,2))
and I plot a histogram of variable x, somethink like:
hist(dat$x, breaks=-5:5)
Now, I'd like to color each bar according to the mean of the cases
according to y. For instance, the color of the bar
Dear all,
If I do a PCA like this:
dat<-matrix(rnorm(30),ncol=3)
res<-prcomp(dat)
Now, imagine that I got new data that I want to project onto the
original PC axes. How do I do that?
Thanks!
John
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On Apr 6, 2012, at 9:09 AM, John D. Muccigrosso wrote:
> I have some data files in which some fields have multiple values. For example
>
> first last sex major
> John Smith M ANTH
> Jane DoeF HIST,BIOL
>
> What's the best R-like way to handle thes
I have some data files in which some fields have multiple values. For example
first last sex major
John Smith M ANTH
Jane DoeF HIST,BIOL
What's the best R-like way to handle these data (Jane's major in my example),
so that I can do things like summarize the other fields by
I cannot for the life of me figure this out:
What's the parameter to fill in with color circles made with circles()? col
changes the line color, but all I see in the help is a reference to "additional
graphic parameters", and no examples via google.
Thanks!
John Muccigrosso
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On 12 Mar 2012, at 12:47 , S Ellison wrote:
> Yes, to the extent that the default barplot plots the height of the bar so
> far as the sum of teh values so far, starting at teh first. For your first
> vector, no problem; for your second, the highest value is undefiuned, for the
> third, the sum
Am I wrong that barplot is supposed to just skip NAs, and continue with the
rest of the data in a matrix column? That's how I read various posts on the
subject.
But that's not what happens for me with R64.app (on a Mac, obviously). For
example:
d0 <- as.matrix(c(2,3,4))
d1 <- as.matrix(c(2,3,N
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