Dear R-users, I am looking for books and R examples that focus on the
analysis of advertising, marketing, web metrics, and social media datasets.
I wonder if you have recommendations for me. Thanks much!
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R
re
http://cran.r-project.org/bin/windows/contrib/ATLAS/C2D/
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On Thu, Nov 19, 2009 at 5:06 PM, Marc Schwartz wrote:
> On Nov 19, 2009, at 9:25 AM, Carlos Hernandez wrote:
>
> Dear All,
>> I appreciate any advice or hints you could provide about the following.
>
Dear All,
I appreciate any advice or hints you could provide about the following.
We are running R code in a server (running Windows XP and QuadCore Xeon
processors, see details below) and we would like to use the server
efficiently. Our code takes a bit more than 6 seconds per 25 iterations in
th
On Tue, Sep 29, 2009 at 8:05 PM, David Winsemius wrote:
>
> On Sep 29, 2009, at 1:43 PM, Carlos Hernandez wrote:
>
> Dear All,
>> I´m using the following code:
>>
>> all1<-gg2[[1]][[1]]; for(i in 1:48){ all1 <- rbind(all1,gg2[[i]][[1]]) }
>>
>
> L
Thank you for your quick reply! It works perfectly!
On Tue, Sep 29, 2009 at 7:51 PM, Henrique Dallazuanna wrote:
> Try this;
>
> do.call(rbind, sapply(gg2, '[', 1))
>
> On Tue, Sep 29, 2009 at 2:43 PM, Carlos Hernandez
> wrote:
> > Dear All,
> > I´m usi
Dear All,
I´m using the following code:
all1<-gg2[[1]][[1]]; for(i in 1:48){ all1 <- rbind(all1,gg2[[i]][[1]]) }
to create a new matrix that contains all the matrices in a list called gg2.
gg2 is a list that looks like
>> gg2
[[1]]
[[1]][[1]]
[[2]]
[[2]][[1]]
.
.
.
[[48]]
[[48]][[1]]
Is the
dear All,
i'm using the following two functions:
share.vector <- function (vec1)
{
vec1 <- vec1 - max(vec1,na.rm=TRUE) -0.1 ## this line avoids overflow
vec1 <- exp(vec1)
vec2 <- vec1/(1+sum(vec1,na.rm=TRUE))
vec2
}
share.matrix <- function (mat1)
{
out1 <- apply(mat1,2,share.vector)
i did not understand this last line, so far i couldn't make it work.
would it be easier to replace the values (the third column of each matrix
in my.array) using an array like in #1?
thank you for your reply!
> On Thu, Sep 3, 2009 at 11:16 AM, Carlos Hernandez
> wrote:
>
>>
Dear All,
I created a list (of length Z) in the following way:
my.array <- vector("list", Z)
then i assigned a matrix (of T rows by N columns) in each of the elements of
the list my.array in the following way:
my.array[[i]] <- matrix.data ##( matrix.data has dimensions TxN, and i
repeated this
:
Carlos Hernandez wrote:
dear All,
i'm trying to calculate the number of Mondays, Tuesdays, etc that
each
month within a date range has. I have time series data that spans 60
months and i want to calculate the number of Mondays, Tuesdays,
Wed, etc
of each month. (I want to control for w
dear All,
i'm trying to calculate the number of Mondays, Tuesdays, etc that each
month within a date range has. I have time series data that spans 60
months and i want to calculate the number of Mondays, Tuesdays, Wed,
etc of each month. (I want to control for weekly seasonality but my
dat
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