it looks great, thank you very much Jeff for your time and kind help !
On Wed, Jul 18, 2018 at 7:51 PM, Jeff Newmiller
wrote:
> The traditional (SQL) way to attack this problem is to make the data
> structure simpler so that faster comparisons can be utilized:
>
>
> A <-
The traditional (SQL) way to attack this problem is to make the data
structure simpler so that faster comparisons can be utilized:
A <- data.frame(z=c("a*b", "c*d", "d*e", "e*f"), t =c(1, 2, 3, 4))
B <- data.frame(z=c("a*b::x*y", "c", "", "g*h"), t =c(1, 2, 3, 4))
Dear Riley,
thank you very much for your help and solution. I got some inspiration from
stackoverflow website,
and I did use sqldf library. It looks that the formula below works too.
Thanks a lot !
sqldf("select B.*, A.* from B left join A on instr(B.z, A.z)")
On Wed, Jul 18, 2018 at 3:57
Thanks a lot ! It looks that I am getting the same results with :
B %>% regex_left_join(A, by = c(z = 'z'))
On Wed, Jul 18, 2018 at 3:57 PM, Riley Finn wrote:
> please may I ask for a piece of advise regarding merging two dataframes :
>> A <- data.frame(z=c("a*b", "c*d", "d*e", "e*f"), t =c(1,
Dear all,
please may I ask for a piece of advise regarding merging two dataframes :
A <- data.frame(z=c("a*b", "c*d", "d*e", "e*f"), t =c(1, 2, 3, 4))
B <- data.frame(z=c("a*b::x*y", "c", "", "g*h"), t =c(1, 2, 3, 4))
function of the criteria :
if "the elements in the 1st column of A could be
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