Displaying 10 results from an estimated 10 matches for "feleling".
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feeling
2009 Oct 03
0
[LLVMdev] [cfe-dev] Cross-compiling with clang
Indeed, I am very interested in this area, because of the frustrating
feleling of using gcc about cross compiling. Even though I don't have
much time, but I can submit some idea about this field;)
2009/10/3, Chris Lattner <clattner at apple.com>:
> On Oct 2, 2009, at 8:14 PM, Mark A. Miller wrote:
>> As a preface, I am not a compiler developer, so please t...
2011 Mar 01
2
bootstrap resampling question
Hello there,
I have a problem concerning bootstrapping in R - especially focusing on the resampling part of it. I try to sum it up in a simplified way so that I would not confuse anybody.
I have a small database consisting of 20 observations (basically numbers from 1 to 20, I mean: 1, 2, 3, 4, 5, ... 18, 19, 20).
I would like to resample this database many times for the bootstrap process with
2011 Mar 17
2
changing the dimensions of a matrix in a real specific way
Hi again,
I'd like to ask you a question again.
I have a matrix like this:
a <-matrix(c(1,2,3,4,5,6,7,8,9,10,11,12))
a
[,1]
[1,] 1
[2,] 2
[3,] 3
[4,] 4
[5,] 5
[6,] 6
[7,] 7
[8,] 8
[9,] 9
[10,] 10
[11,] 11
[12,] 12
Is there a proper way to change the dimensions of this matrix so that I'll get this as a result:
[,1] [,2] [,3]
[1,]
2011 Mar 08
1
creating additional column
Hello everybody,
I have a little problem in good old R. It is basically the following.
I have this small database with 3 rows and the following columns:
d1,
d2,
d3 and
Highest d value - which selects the highest value from d1, d2, d3 in each row.
d1 d2 d3 Highest d value
1 51.398426 39.111721 11.6086220 51.398426
2 4.057801
2011 Mar 21
1
recalling different data frames (the way you do in Excel VB)
Hello everyone,
I'd like to ask you a question again, basically focusing on referring to different objects.
Let's suppose we create the following databases this way:
id <-c(1,1,1,1,1,1,1,1,1,1,2,2,2,2,2,2,2,2,2,2,3,3,3,3,3,3,3,3,3,3)
a <-c(3,1,3,3,1,3,3,3,3,1,3,2,1,2,1,3,3,2,1,1,1,3,1,3,3,3,2,1,1,3)
b <-c(3,2,1,1,1,1,1,1,1,1,1,2,1,3,2,1,1,1,2,1,3,1,2,2,1,3,3,2,3,2)
c
2011 Mar 21
1
recalling different data frames (the way you do in Excel VB but now) in
Hello everyone,
I'd like to ask you a question again, basically focusing on referring to different objects.
Let's suppose we create the following databases this way:
id <-c(1,1,1,1,1,1,1,1,1,1,2,2,2,2,2,2,2,2,2,2,3,3,3,3,3,3,3,3,3,3)
a <-c(3,1,3,3,1,3,3,3,3,1,3,2,1,2,1,3,3,2,1,1,1,3,1,3,3,3,2,1,1,3)
b <-c(3,2,1,1,1,1,1,1,1,1,1,2,1,3,2,1,1,1,2,1,3,1,2,2,1,3,3,2,3,2)
c
2011 Apr 18
4
altering identity column
Hi there,
I have a huge dataframe containing 70,000 observations.
I have filtered this dataframe (let it's name be "transformed_dataframe") as I wanted to select only those observations which are greater than or equal to 60,001 regarding the very first identity column.
So I have a transformed dataframe now including 10,000 obeservations (from 60,001 - to 70,000) and if you send
2011 Mar 17
1
calculating the occurrences of distinct observations in the subsets of a dataframe
Hello everybody,
I have a data frame in R which is similar to the follows. Actually my real 'df' dataframe is much bigger than this one here but I really do not want to confuse anybody so that is why I try to simplify things as much as possible.
So here's the data frame.
id <-c(1,1,1,1,1,1,1,1,1,1,2,2,2,2,2,2,2,2,2,2,3,3,3,3,3,3,3,3,3,3)
a
2011 Mar 19
2
persuade tabulate function to count NAs in a data frame
Hi,
I'd like to ask you a question again. It is basically about data frames, NAs and tabulate function.
I have this data frame. I already used this in one of the previous questions of mine. It intentionally looks this simple, my real 'df' dataframe is much bigger actually and again, I am not willing to annoy anyone with huge databases... So, my database:
id
2011 Feb 10
3
help - "the condition has length > 1 and only the first element will be used"
Hello there,
I don't know if I'm addressing my question to the right e-mail address, I hope I do. Actually I have a little problem concerning writing a code in R. I try to briefly sum up my problem.
As you can see below, I created the functions "Equation1" and "Equation2" with some conditions.
Equation1 <-function(x){
if