I came across the package 'ineq' that computes a variety of inequality measures
(e.g. gini, theil etc). I want to compute the Theil index (racial segregation)
and decompose the total into sub-components (by geog levels). I think the
package doesn't report the decomposition (correct me if I'm wro
Why not just change the names of the variables before invoking the call to
rq, and its formula?
Because I won't be able to do longer label e.g. 'Population Density Per Square
Mile'.
I actually found the solution by accident---
x<-rnorm(50)
x1<-rnorm(50)
y<-x+x1+rnorm(50) out<-rq(y~x+x1, tau=1:9/
Hi Roger,
Maybe I'm missing a clue. Here's an example:
x<-rnorm(50)
x1<-rnorm(50)
y<-x+x1+rnorm(50)
out<-rq(y~x+x1, tau=1:9/10)
plot(summary(out))
plot.out<-plot(summary(out))
#I change the variable names
dimnames(plot.out)<-list(c("intercept", "sex", "inc"))
#Look at the plot
#it's ONE si
I have spent hours on this ---looked through the quantreg manual and r-help
site--- still couldn't figure out the answer. Can someone please help me on
this?
I plot the result from quantile regression and want to change the variable
labels:
temp<-rq(dep~inc+age50, data=newdata, tau=1:9/10)
I used matplot to plot multiple lines (over 300 lines). I'd like to draw a
polygon and shade the area between upper and lower boundary.
I know the plot function works pretty well with polygon(). How about matplot? I
have too many lines and my upper/lower boundaries are formed by many different
Hi. I have a dataset of unique coordinates (no missing coordinates). When I did
the following:
lonlat<-mydata[, c("lon, "lat")]
sp1<-corSpatial(1,form=~lon+lat,type="g")
scor<-Initialize(sp1, lonlat , nugget=FALSE)
I got a value for sp1 (2.67). But got an error message for scor--Error in
getC
I have a puzzle
When I include an interaction in the model, many predicted probabilities are
above 1. Is that a problem with my model? I thought the predicted prob can't be
bigger than 1...
Any help would be really appreciated! Thanks!
K.
reg1<-glm(pyea~male+edu+married+inc+relig+factor(
Hi. This may be a straight-forward question...
I have a time series from 1950 to 2000 (by year) with missing values.
Sometimes only a year has value and the adjacent years have missing data, e.g.
1950 2.7
1951
1952
1953 3.4
1954
1955
1956 2.9
1957 3.6
1958 2.7
When I use plot (type='l'), the
Hi. I have built a levelplot with 3 variables, X, Y, and Z where X and Y are
the two axes and Z represents the intensity (i.e. Z~X*Y).
Now I want to adjust the size of the grid (like a mosaic plot) where the size
of each grid is weighted by a variable, W.
Just wonder how can I do that with lev
Dear members,
I was trying to simulate W which is iid and depends on X and Y.
Here are 2 methods:
Method 1:
x<-rnorm(100)
y<-rnorm(100)
w<-rnorm(100, 2x+y,1)
Method 2:
x<-rnorm(100)
y<-rnorm(100)
w<-2x+y+rnorm(100,0,1)
Are these methods comparable?
Since x and y are vectors, the term 2x
Thanks to Saeed Abu Nimeh. I used pkg_add to install R package on 4.4BSD.
My directory now has the following:
BUILDDIRMakefrag.cc_lo config.log m4 tests
MakeconfMakefrag.cxxconfig.status po tools
MakefileR-2.6.1 doc
Dear users,
I try to follow the instruction on this page to install R on 4.4BSD network.
http://cran.r-project.org/doc/manuals/R-admin.html#Using-make
I can unpack the file but the system can't recognize the command:
./configure
make
Any ideas what should be the right command?
Thanks!!
K.
Dear R-users,
I use R to run spatial stuff and it takes up a lot of ram. Runs can take hours
or days. I am thinking of getting a new desktop. Can R take advantage of the
dual-core system?
I have a dual-core computer at work. But it seems that right now R is using
only one processor.
The new
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