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Use this tag for any *on-topic* question that (a) involves `R` either as a critical part of the question or expected answer, & (b) is not *just* about how to use `R`.
2
votes
Random forest cross validation for feature selection, imbalanced datasets
Your class1 and class2 summed 588 and 4709 do not add up to 5267 but 5297.
But assuming you have a 5297x26 set of regressors allows me to estimate the random forrest by the call you posted
data <- d …
3
votes
1
answer
947
views
Bias of Panel Generalization of Durbin-Watson
$cv(7.5, 100, 8) \to d_{PL}=1.8561,\; d_{PU}=1.9039$
Now if i simulate data without autocorrelation I tend to find very low values for $d_P$ that reject $H0: \rho=0$
#[R]
require(data.table)
set.seed …
2
votes
Accepted
Bias of Panel Generalization of Durbin-Watson
Also I found an implementation in R in plm::pdwtest
this gives d_P = 1.928698 for the random noise, as expected no significant autocorrelation. … Here is some R code that shows this:
set.seed(1)
DT <- data.table(i=c(rep(1:50, each=7), rep(51:100, each=8)),
t=c(rep(1:7, 50), rep(1:8, 50)), u=rnorm(100*7.5))
DT[, zero:=0][1, zero …