efficient programming in R

故事扮演 提交于 2019-12-25 02:18:43

问题


I have a data like

author_id paper_id confirmed     author_name1   author_affiliation1         author_name   
   826    25733         1     Emanuele Buratti  Genetic engineering    Emanuele Buratti
   826    25733         1     Emanuele Buratti  International center   Emanuele Buratti
   826    47276         1     Emanuele Buratti                         Emanuele Buratti
   826    77012         1     Emanuele Buratti                         Emanuele Buratti
   826    77012         1     Emanuele Buratti                         Emanuele Buratti
   826    79468         1     Emanuele Buratti                         Emanuele Buratti

author_affiliation
Genetic enginereing                                                                                                
The International Centre for Genetic Engineering and Biotechnology, Padriciano 66,        
Trieste, Italy


International Centre for Genetic Engineering and Biotechnology, Padriciano 99, 34149                         
Trieste, Italy

Now I have to check for each row strindist between author_name and author_name1(name_dist) and the stringdist between author_affiliation vs author_affiliation1(aff_sit.

I am using

name_dist<-vector()
aff_dist<-vector()
for(i in 1:nrow(mer1))
{
 name_dist[i]<-stringdist(mer1$author_name1[i],mer1$author_name[i],method="lv")
 aff_dist[i]<-stringdist(mer1$author_affiliation1[i],mer1$author_affiliation[i],method="lv")

 }

But this is using a lot of time.How could this be done efficiently?

Thanks


回答1:


You can directly vectorize it

i=1:nrow(mer1)
name_dist<-stringdist(mer1$author_name1[i],mer1$author_name[i],method="lv")
aff_dist<-stringdist(mer1$author_affiliation1[i],mer1$author_affiliation[i],method="lv")



回答2:


You can use sapply (or some other vectorization method), like so:

a = letters[1:5] # your mer1$author_name1
b = LETTERS[1:5] # your mer1$author_name
name_dist = sapply(a, stringdist, b, method="lv")



回答3:


Try

res <- transform(mer1, 
    name_dist=stringdist(author_name1,author_name,method="lv"),
    aff_dist=stringdist(author_affiliation1,author_affiliation,method="lv")
)

Since stringdist is a function capable of vector input, it should be more efficient this way.



来源:https://stackoverflow.com/questions/22609199/efficient-programming-in-r

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