Re: [R] automate multiple object creation
I believe this is a little bit closer:
rank-function(i,j){
for(i in name1){
for(j in name2){
somers2(i,j)
}}}
rank(name1,name2)
bu still not there
waltzmiester wrote:
I appreciate all the help I have received from this list and also not
being flamed because I am new to R. Many of my problems are in automation
so far.
I am trying to create multiple objects that are outputs of functions. Here
are the tasks:
aGAM-somers2(Pred_pres_a_indpdt[,3,,],population[,23])
aGBM-somers2(Pred_pres_a_indpdt[,4,,],population[,23])
cGLM-somers2(Pred_pres_a_indpdt[,5,,],population[,23])
cRF-somers2(Pred_pres_a_indpdt[,8,,],population[,23])
bGAM-somers2(Pred_pres_b_indpdt[,3,,],population[,24])
bGBM-somers2(Pred_pres_b_indpdt[,4,,],population[,24])
bGLM-somers2(Pred_pres_b_indpdt[,5,,],population[,24])
bRF-somers2(Pred_pres_b_indpdt[,8,,],population[,24])
...and so on through the letter f.
so the variables (x,y,z in this example) are as follows:
xGAM-somers2(Pred_pres_x_indpdt[,y,,],population[,z])
the GAM, GBM, GLM, and RF are stored in a column y in
Pred_pres_x_indpdt.
x is denoting a species, which corresponds to column z in population, so
a:f == 23:28
~~~
This may be pushing it, but it would be great if I could get all of these
in a matrix of dim[1,96]
Here is what I have so far:
x - c(a,b,c,d,e,f)
nums - c(23:28)
rank-function(x){
for(y in nums){
xGAM-somers2(Pred_pres_x_indpdt[,3,,],population[,y])
xGBM-somers2(Pred_pres_x_indpdt[,4,,],population[,y])
xGLM-somers2(Pred_pres_x_indpdt[,5,,],population[,y])
xRF-somers2(Pred_pres_x_indpdt[,8,,],population[,y])
rank(x)
}}
#for each species, there is 16 columns of output, so a total of 96 columns
is needed
x_matrix-matrix(c(xGAM[1:2],Evaluation.results.TSS[[1]][1,3:4],xGBM[1:2],Evaluation.results.TSS[[1]][2,3:4],
xGLM[1:2],Evaluation.results.TSS[[1]][3,3:4],xRF[1:2],Evaluation.results.TSS[[1]][4,3:4]),
nrow=1,ncol=16,
dimnames=list(c(),
c(x_gam_AUC, x_gam_Dxy,x_gam_TSS,x_gam_Cutoff,x_gbm_AUC,
x_gbm_Dxy,x_gbm_TSS,x_gbm_Cutoff,
x_glm_AUC, x_glm_Dxy,x_glm_TSS,x_glm_Cutoff,x_rf_AUC,
x_rf_Dxy,x_rf_TSS,x_rf_Cutoff)))
Thanks again for helping me out.
Chris
--
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Re: [R] automate multiple object creation
x-c(a,b,c,d,e,f)
y-rep(c(3,4,5,8),6)
z-rep(c(23,24,25,26,27,28),6)
name1-sprintf(Pred_pres_%s_indpdt[,%s,,],x,y)
name2-sprintf(population[,%s],z)
rank-function(i,j){
for(i in name1){
for(j in name2){
somers2(i,j)
}}}
rank(name1,name2)
waltzmiester wrote:
I believe this is a little bit closer:
rank-function(i,j){
for(i in name1){
for(j in name2){
somers2(i,j)
}}}
rank(name1,name2)
bu still not there
waltzmiester wrote:
I appreciate all the help I have received from this list and also not
being flamed because I am new to R. Many of my problems are in automation
so far.
I am trying to create multiple objects that are outputs of functions.
Here are the tasks:
aGAM-somers2(Pred_pres_a_indpdt[,3,,],population[,23])
aGBM-somers2(Pred_pres_a_indpdt[,4,,],population[,23])
cGLM-somers2(Pred_pres_a_indpdt[,5,,],population[,23])
cRF-somers2(Pred_pres_a_indpdt[,8,,],population[,23])
bGAM-somers2(Pred_pres_b_indpdt[,3,,],population[,24])
bGBM-somers2(Pred_pres_b_indpdt[,4,,],population[,24])
bGLM-somers2(Pred_pres_b_indpdt[,5,,],population[,24])
bRF-somers2(Pred_pres_b_indpdt[,8,,],population[,24])
...and so on through the letter f.
so the variables (x,y,z in this example) are as follows:
xGAM-somers2(Pred_pres_x_indpdt[,y,,],population[,z])
the GAM, GBM, GLM, and RF are stored in a column y in
Pred_pres_x_indpdt.
x is denoting a species, which corresponds to column z in population,
so a:f == 23:28
~~~
This may be pushing it, but it would be great if I could get all of these
in a matrix of dim[1,96]
Here is what I have so far:
x - c(a,b,c,d,e,f)
nums - c(23:28)
rank-function(x){
for(y in nums){
xGAM-somers2(Pred_pres_x_indpdt[,3,,],population[,y])
xGBM-somers2(Pred_pres_x_indpdt[,4,,],population[,y])
xGLM-somers2(Pred_pres_x_indpdt[,5,,],population[,y])
xRF-somers2(Pred_pres_x_indpdt[,8,,],population[,y])
rank(x)
}}
#for each species, there is 16 columns of output, so a total of 96
columns is needed
x_matrix-matrix(c(xGAM[1:2],Evaluation.results.TSS[[1]][1,3:4],xGBM[1:2],Evaluation.results.TSS[[1]][2,3:4],
xGLM[1:2],Evaluation.results.TSS[[1]][3,3:4],xRF[1:2],Evaluation.results.TSS[[1]][4,3:4]),
nrow=1,ncol=16,
dimnames=list(c(),
c(x_gam_AUC, x_gam_Dxy,x_gam_TSS,x_gam_Cutoff,x_gbm_AUC,
x_gbm_Dxy,x_gbm_TSS,x_gbm_Cutoff,
x_glm_AUC, x_glm_Dxy,x_glm_TSS,x_glm_Cutoff,x_rf_AUC,
x_rf_Dxy,x_rf_TSS,x_rf_Cutoff)))
Thanks again for helping me out.
Chris
--
View this message in context:
http://www.nabble.com/automate-multiple-object-creation-tp24756632p24758066.html
Sent from the R help mailing list archive at Nabble.com.
__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
