hi
I ran the below code, its throwing some error.
> contract <- twsEquity("FAS")
> reqMktData(tws, contract)
Error in if (curMsg == .twsIncomingMSG$TICK_PRICE) { :
argument is of length zero
So i ran this following code to check the location of the problem
> socketSelect(list(con), write=FAL
Hi
I need to optimize the below function:
a=function(x){
A=x[1]
B=x[2]
C=B-A
return(C)
}
I need to optimize the above function such that x can be any combination of
these number (0,3,5,8) of vector length 2
(i.e) x can be (3,0), (5,0), (8,0), (3,5), (3,8), (5,8), .. etc
can s
Thanks for the reply, but the example i have given above is a sample
function. I would be using a function with input vector of size more than
100 and the function will compute some score based on the 100 vector
combinations.
Since i don't want to do this computation sequentially for all these
com
oh sorry ..
The detailed description of the problem is given below
dataFrame is matrix of dim 100X100 with some values
a is a vector of length 1
x is a vector of any length between 1 to 99
funcScore<-function(a,x){
sc<-0
sc1<-0
for(j in 1:(length(x))){
sc<-sc+abs(d
I am new to both sem and lavaan package ...
I dint exactly get the difference between sem from sem package and sem from
lavaan package... ,
--
View this message in context:
http://r.789695.n4.nabble.com/Structural-equation-modeling-in-R-lavaan-sem-tp3409642p3997527.html
Sent from the R help ma
hi
I built a flexmix GLM binomial model with 200 observations and the model
gave me 2 clusters, so if the model is named as newModel then i get the
cluster index for each row using newModel@clusters. Now is there any way to
predict which cluster the new observation or 201 observation belongs to
u
Hi
I built a flexmix GLM binomial model with 200 observations and the model
gave me 2 clusters, so if the model is named as newModel then i get the
cluster index for each row using newModel@clusters. Now is there any way to
predict which cluster the new observation or 201 observation belongs to
u
Thank you very much for those suggestions, it really helped me a lot.
I just got another problem, i want to run flexmix GLM binomial model with
huge dataset (say 5 million rows), but the problem is i cant run flexmix
with this dataset as a whole in R ( it will crash). So is it fair to run the
fle
8 matches
Mail list logo