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2010 May 16
2
Box-Cox Transformation: Drastic differences when varying added constants
...S. Here is what i did:
# Creating of a skewed variable X (mixture of two normals)
x1 = rnorm(120,0,.5)
x2 = rnorm(40,2.5,2)
X = c(x1,x2)
# Adding a small constant
Xnew1 = X +abs(min(X))+ .1
box.cox.powers(Xnew1)
Xtrans1 = Xnew1^.2682 #(the value of the lambda estimate)
# Adding a larger constant
Xnew2 = X +abs(min(X)) + 1
box.cox.powers(Xnew2)
Xtrans2 = Xnew2^-.2543 #(the value of the lambda estimate)
#Plotting it all
par(mfrow=c(3,2))
hist(X)
qqnorm(X)
qqline(X,lty=2)
hist(Xtrans1)
qqnorm(Xtrans1)
qqline(Xtrans1,lty=2)
hist(Xtrans2)
qqnorm(Xtrans2)
qqline(Xtrans2,lty=2)
#co...
2003 Aug 29
3
Creating a new table from a set of constraints
Hi Everyone,
Here's a silly newbie question. How do I remove unwanted rows from an
R table? Say that I read my data as:
X <- read.table("mydata.txt")
and say that there are columns for age and gender. Call these X[5] and
X[10], respectively.
Here, X[5] is a column of positive integers and X[10] is binary valued
i.e., zero (for male) and one (for female)
Now, say that I