Displaying 6 results from an estimated 6 matches for "dennik".
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dennis
2009 Mar 23
2
Efficiently create dummy
What's the neat way to create a dummy from a list?
The code below is not replicable, but hopefully self-explanatory...
d$treatment<-rep(1,length(d))
notreat<-c("AR", "DE", "MS", "NY", "TN", "AK", "LA", "MD", "NC", "OK", "UT", "VA")
#i would really like this to work:
2009 Feb 26
2
Importing zoo object ("index contains NAs")
Dear list,
I have an irregular time series saved and exported as a zoo object. What is the trick to force zoo to ignore the missing dates when reading it back in? Thanks.
> str(g)
?zoo? series from 1948-11-02 to 2012-11-06
Data: num [1:14881, 1:8] 1 0 0 0 0 0 0 0 0 0 ...
- attr(*, "dimnames")=List of 2
..$ : NULL
..$ : chr [1:8] "session" "midterm"
2009 Apr 04
2
Help using smooth.spline with zoo object
Can someone please show me how to smooth time series data that I have in the form of a zoo object?
I have a monthly economies series and all I really need is to see a less jagged line when I plot it.
If I do something like
s <- smooth.spline(d.zoo$Y, spar = 0.2)
plot(predict(s,index(d.zoo)), xlab = "Year")
# not defined for Date objects
and if I do something like
2009 Apr 03
2
Help pasting string as object name
I have a data frame containing monthly observations of the 'density' of each US state, recorded in variables named "density.AL", "density.AK", "density.AZ", and so on for all 50 states. The data frame (called d) also contains a variable called "Date" which is encoded as a string in the format "Jan-09", "Feb-09", etc.
I also have
2009 May 01
0
Confusion going from Stata -> R
Dear list,
I am trying to replicate some Stata results but having a tough time doing it in R. The goal is to obtain a difference-in-difference estimate in a model with simple state fixed effects. The "state" variable is a factor, but some levels are missing. It appears that Stata automatically recognizes this and works around it. It also automatically pick "ME" as the base
2009 May 08
2
Probit cluster-robust standard errors
If I wanted to fit a logit model and account for clustering of observations, I would do something like:
library(Design)
f <- lrm(Y1 ~ X1 + X2, x=TRUE, y=TRUE, data=d)
g <- robcov(f, d$st.year)
What would I do if I wanted to do the same thing with a probit model?
?robcov says the input model must come from the Design package, but the Design package appears not to do probit?
Thanks very