g = ches1217
distance_mat<-distances(g)
data_alumno_coe<-classification %>%
inner_join(data_postulaciones_,by=c("ID","Year","IDYEAR")) %>%
filter(Big.Group %in% V(g)$name) %>% #filtering the degree programs in the HES
group_by(IDYEAR) %>%
summarise(coherence=ifelse(try(sum(distance_mat[unique(as.character(Big.Group)),unique(as.character(Big.Group))])/(n()*(n()-1)))=="try-error",NA,sum(distance_mat[unique(as.character(Big.Group)),unique(as.character(Big.Group))])/(n()*(n()-1)))) %>%
ungroup() %>%
inner_join(classification,by="IDYEAR")
#inco$dist[inco$dist==0]<-NA
#inco$sepa<-paste0(inco$Drop," ",inco$Application)
data_alumno_coe<- data_alumno_coe %>% mutate(f_ind=case_when(n==1 ~ "Non-dropped",
(n!=1 & ordered_application==1) ~ "First dropped"
),
times_applied=ifelse(n==1,"Once",'Twice or More'),
decision=case_when(ordered_application<n ~"Dropped",
ordered_application==n ~ "Final"),
dropped=case_when((n==1 & ordered_application==1)~"0 None",
(n>=2 & ordered_application==1)~"1 Once",
(n==2 & ordered_application==2)~"0 None",
(n>=3 & ordered_application==2)~"1 Once",
(n==3 & ordered_application==3)~"0 None",
(n>=4 & ordered_application==3)~"1 Once",
(n==4 & ordered_application==4)~"0 None",
(n>=5 & ordered_application==4)~"1 Once",
(n==5 & ordered_application==5)~"0 None",
(n>=6 & ordered_application==5)~"1 Once",
(n==6 & ordered_application==6)~"0 None",
(n>=7 & ordered_application==6)~"1 Once",
(n==7 & ordered_application==7)~"0 None",
(n>=8 & ordered_application==7)~"1 Once",
(n==8 & ordered_application==8)~"0 None",
(n>=9 & ordered_application==8)~"1 Once",
(n==9 & ordered_application==9)~"0 None",
(n>=10 & ordered_application==9)~"1 Once",
(n==10 & ordered_application==10)~"0 None"))
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