Displaying 8 results from an estimated 8 matches for "adrogu".
2011 Nov 01
4
building a subscript programatically
Hi,
On ocasion, you need to subscript an array that has an arbitrary
(ie. not known in advance) number of dimensions. How do you deal with
these situations?
It appears that it is not possible use a list as an index, for
instance this fails:
> x <- array(NA, c(2,2,2))
> x[list(TRUE,TRUE,2)]
Error in x[list(TRUE, TRUE, 2)] : invalid subscript type 'list'
The only way I know is
2012 Feb 08
3
R equivalent of Python str()?
Hi,
I was wondering if there's a function in R that is meant to return a
string representation of an object. Basically, it's like print() but
it doesn't print anything, it only returns a string.
I know there's a str() function but it's not quite the same. I mean a
function that returns the same string that print() would display.
--
Bye,
Ernest
2011 Feb 03
3
get caller's name
Hi,
Suppose a function that checks an object:
stop.if.dims <- function(x) {
if (! is.null(dim(x))) {
stop("cannot handle dimensional data")
}
}
This would be used by other functions that can only work with
dimensionless objects. The problem is the error message would need to
include the name of the function that called stop.if.dims, so that the
user knows which function got
2011 Jan 28
3
sapply puzzlement
Hi,
I have this data.frame with two variables in it,
> z
V1 V2
1 10 8
2 NA 18
3 9 7
4 3 NA
5 NA 10
6 11 12
7 13 9
8 12 11
and a vector of means,
> means <- apply(z, 2, function (col) mean(na.omit(col)))
> means
V1 V2
9.666667 10.714286
My intention was substracting means from z, so instictively I tried
> z-means
V1 V2
1 0.3333333
2011 Nov 23
1
how to stack a list of arrays
Hello,
I have this list of 2-d arrays:
$`0`
k d
[1,] 0.2011962 4.019537
[2,] 0.2020706 5.722719
[3,] 0.2029451 7.959612
$`1`
k d
[1,] 0.3148325 2.606903
[2,] 0.3160287 3.806665
[3,] 0.3172249 5.419222
$`2`
k d
[1,] 0.2332536 4.949390
[2,] 0.2342188 7.115258
[3,] 0.2351840 9.955909
which I need to transform into a data frame like this
2011 Aug 15
1
accumulative grouping of time series
HI there,
Consider a data set like this:
> x <- data.frame(a=1:10, b=11:20, t=c(1,1,1,2,2,2,3,3,3,3))
> x
a b t
1 1 11 1
2 2 12 1
3 3 13 1
4 4 14 2
5 5 15 2
6 6 16 2
7 7 17 3
8 8 18 3
9 9 19 3
10 10 20 3
Here x$t is a vector of integers that represent a moment
in time. I would like to calculate a function of a & b at
each moment (t0), but using the rows
2016 May 23
0
data frame method for as.table()
> On May 23, 2016, at 11:46 AM, Ernest Adrogu? <eac at openmailbox.org> wrote:
>
> Hello,
>
> Currently it's possible to convert an object of class table to a data frame
> with as.data.frame.table(), but there's no ready-made function, AFAIK, to do
> the reverse operation, i.e. conversion of a data frame to a...
2016 May 23
2
data frame method for as.table()
Hello,
Currently it's possible to convert an object of class table to a data frame
with as.data.frame.table(), but there's no ready-made function, AFAIK, to do
the reverse operation, i.e. conversion of a data frame to a table.
Do you think it would be a good idea to add a data.frame method to
as.table(), to allow such conversions?
The idea is that if `x' is a table and `y <-