Displaying 6 results from an estimated 6 matches for "derej".
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deref
2012 Oct 08
3
Removing header from a matrix
I have three column vectors (X1, X2, X3).
X1 X2 X3
20 25 40
100 90 80
I want to put them as one matrix of dimention 2 by 3, but remove headers(X1,X2,X3) from the matrix. I wrote
as follows
U<-cbind (X1,X2,X3)
the headers are there. I need help please. Thanks
Dereje
[[alternative HTML version deleted]]
2012 Oct 04
1
running a regression
...ollowing response. your help is appreciated.
Error in constants (lhs, cnames_symb) :
The hypothesis
"Cost_PKL-QK.X_(Intercept)=0" is not well formed: contains bad
coefficient/variable names. In addition:
Warning message:
In constants(lhs, cnames_symb) : NAs introduced by coercion
Dereje
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2012 Oct 17
1
extracting and restricting coefficients
...X1+X2
eqsystem<-list(Y1HAT=EQ1,Y2HAT=EQ2)
fitols<-systemfit(eqsystem,
method="OLS", data=BB)
How do I get coefficients for the first equation? R code
How do I restrict coefficient of X2 in the first equation (say , restrict it to less than zero). R code
Your help is
appreciated.
Dereje
[[alternative HTML version deleted]]
2012 Oct 02
3
Integration in R
Dear R-users,
I am facing problem with integrating in R a likelihood function which is a
function of four parameters. It's giving me the result at the end but
taking more than half an hour to run. I'm wondering is there any other
efficient way deal with. The following is my code. I am ready to provide
any other description of my function if you need to move forward.
2013 Nov 11
1
r package to solve for Nash equilibrium
Is there an r package out there that solves for pure strategy* Nash
equilibrium of a two-person game*? A search for Nash equilibrium in r
provides a link to the *GNE* package which solves for the Generalized Nash
equilibrium. But what I would like to solve is a pure strategy Nash
equilibrium.
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2013 Nov 11
1
Generating bootstrap samples from a panel data frame
With a data frame (call it *d*) composed of 2000 individuals and
*n*observations for each individual (thus
*2000n* observations in total), I would like to generate *k* bootstrap
samples with replacement from *d*. Amongst other variables, *d* has a
numeric variable *id* taking on identical value for observations belonging
to the same individual.
Taking into consideration the panel nature of the