Displaying 5 results from an estimated 5 matches for "gruna".
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grunt
2004 Jun 25
3
String manipulation
Hi,
let's see, if someone can help my with this one:
I have the string as follows:
> str<-("one","two","three")
Now I want to concatenate the items to one string, seperateted by space or
something else,
>str
>"one, two, three"
If possible without a loop.
My actual goal ist to create string like
>str.names
>"female = names1, male
2004 Jun 20
1
Fw: Evaluating strings as variables
----- Original Message -----
From: Robin Gruna
To: R-help@lists.R-project.org
Sent: Sunday, June 20, 2004 5:42 PM
Subject: Evaluating strings as variables
Hello,
I have the following problem: I have a list as follows,
> values <- list(red = 1, yellow = 2, blue = 3)
> values
$red
[1] 1
$yellow
[1] 2
$blue
[1] 3
There is also a...
2004 Jul 03
1
graphic representation of a qda object
Hi,
I'm a R newbie and I have a supervised 2-class classification problem.
To find out the best representation of my data (dim = 45). I want to perform LDA und QDA on the diffrent data representations to find out, which is best to discriminate the 2 sets. For LDA there exists a method plot.lda shows (in the 2 class case) a histogramm of the data, projected onto the linear discriminants (pleas
2004 Jul 02
2
Error:length of dimnames [2] not equal to array extent ?
Hi everyone,
I have the following problem:
I want to perform a LDA with the function lda().
My data object mat.data is a matrix with dimensions
> dim(mat.data)
[1] 1228 44
and my grouping vector grp has length 1228:
> length(grp)
[1] 1228
Every time I call lda(), the following error message occurs:
> lda(mat.data,grp)
Error in lda.default(x, grouping, ...) : length of dimnames [2]
2005 Jan 25
0
LDA: variables seems to be constant
Hi,
when I performe LDA on some of my datasets I get the error message:
>Error in lda.default(x, grouping, ...) : variable(s) 3 appear to be constant within groups
I assume the reason is the small values of my varibale 3 ( e.g. 4.530353e-05). Has someone a suggestion how to solve this problem? Multiplying a constant to my dataset seems to solve the problem but does this affect the LDA result?