Filter of 2 Datasets

[bib]

Hello everybody, I am new in R, and I do have to filter two Datasets by a ID-Name, because on one of the Dataset has not all ID's of the other one. So I have to filter the fist Dataset (which has 82 Rows) to the second Dataset (which has 64 Rows) and have it identical to the other one.
In the end I should have in both Datasets 64 Rows and the same ID's

Has anyone a idea how to do that in easy way?

Much Thanks.

[FJCC]

Here are two ways to filter DF1 so that it has the same IDs as DF2.

DF1 <- data.frame(ID = LETTERS[1:8], Value = 1:8)
DF1
#>   ID Value
#> 1  A     1
#> 2  B     2
#> 3  C     3
#> 4  D     4
#> 5  E     5
#> 6  F     6
#> 7  G     7
#> 8  H     8
DF2 <- data.frame(ID = c("A", "C", "D", "F", "H"), Value2 = 11:15)
DF2
#>   ID Value2
#> 1  A     11
#> 2  C     12
#> 3  D     13
#> 4  F     14
#> 5  H     15

#with standard subsetting
DF1cln <- DF1[DF1$ID %in% DF2$ID,]
DF1cln
#>   ID Value
#> 1  A     1
#> 3  C     3
#> 4  D     4
#> 6  F     6
#> 8  H     8

#with semi_join
library(dplyr)
#> 
#> Attaching package: 'dplyr'
#> The following objects are masked from 'package:stats':
#> 
#>     filter, lag
#> The following objects are masked from 'package:base':
#> 
#>     intersect, setdiff, setequal, union

DF1cln2 <- semi_join(DF1, DF2, by = "ID")
#> Warning: Column `ID` joining factors with different levels, coercing to
#> character vector
DF1cln2
#>   ID Value
#> 1  A     1
#> 2  C     3
#> 3  D     4
#> 4  F     6
#> 5  H     8

^{Created on 2020-02-03 by the reprex package (v0.3.0)}

[bib]

Thank you I will try it!