On 10/11/2010 12:12 AM, Michael Bedward wrote:
Hello Sachin,
You have a "ragged array" and you can easily store this as a list of vectors...
x<- list(c(0,0,1,1), c(1,3,5), 4, c(7, -1, 8, 9, 10, 6))
The only gotcha with this is that you will then need to use double
brackets for the first index
Hi Sachin,
I guess there are several different possibilities that are more or less handy
depending on your data:
- lists were mentioned already, and I think they are the most "natural"
representation of ragged arrays. Also very flexible, e.g. you can introduce more
dimensions. But they can g
Hi Sachin,
That's OK - you don't need to know the dimensions up front and you can
add new vectors, or elements to an existing vector, as required.
# empty list to start with
X <- list()
# we get a vector
v1 <- c(1, 2, 3, 4, 5)
# add it to the ragged array
X <- c(X, list(v1))
# get another coup
Hi Michael,
Thanks for that. Its a starting point I guess. But what if I didn't know
the length of the outer vector is? (i.e. all dimensions are variable). Or
for that matter I don't actually know what the initial dimensions are going
to be. All of it is created within a for loop.
I was hoping fo
Hello Sachin,
You have a "ragged array" and you can easily store this as a list of vectors...
x <- list(c(0,0,1,1), c(1,3,5), 4, c(7, -1, 8, 9, 10, 6))
The only gotcha with this is that you will then need to use double
brackets for the first index when retrieving values (single brackets
will ret
Hi Erik,
Thanks for replying. Only problem with that is that each row has 5 elements
(or 5 columns). I want varying number of columns as shown in my example.
x<- 0 0 1 1
1 3 5
4
This type of object has the "matrix" class in R.
So just use ?matrix to create it.
matrix(1:25, ncol = 5)
for example.
On 11/09/2010 08:55 PM, sachinthaka.abeyward...@allianz.com.au wrote:
Hi All,
I want to have an array/ matrix that looks this
x<- 0 0 1 1
1
Not sure if this is the best way ... but something similar to my question
from yesterday that I could solve as follows.
> tD <- read.csv("Book1.csv")
> tD
X0 X0.1 X1 X1.1 X X.1
1 13 5 NA NA NA
2 44 NA NA NA NA
3 7 -1 89 10 6
> x1 <- tD[1,1:3]
>
> x2 <- tD[2,1:2]
>
>
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