Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

The post Subsetting with multiple conditions in R appeared first on
Data Science Tutorials –

Subsetting with multiple conditions in R, The filter() method in the dplyr package can be used to filter with many conditions in R.

With an example, let’s look at how to apply a filter with several conditions in R.

Let’s start by making the data frame.

```df<-data.frame(Code = c('A','B', 'C','D','E','F','G'),
Score1=c(44,46,62,69,85,77,68),
score2=c(35,78,45,89,67,49,70),
score3=c(57,62,55,88,43,90,57))
df```

As a result, the final data frame will be

```Code score1 score2 score3
1    A     44     35     57
2    B     46     78     62
3    C     62     45     55
4    D     69     89     88
5    E     85     67     43
6    F     77     49     90
7    G     68     70     57```

Online Course R Statistics: Statistics with R »

## Subsetting with multiple conditions in R

Using the or condition to filter two columns.

```library(dplyr)
result <- df%>% filter(score>50 | score2>55)
result```

as a result, the filtered data frame

```   Code score1 score2 Score3
1    B     46     78     62
2    C     62     45     55
3    D     69     89     88
4    E     85     67     43
5    F     77     49     90
6    G     68     70     57```

Filtering with multiple conditions in R:

Using and condition to filter two columns.

```library(dplyr)
df2 <- df %>% filter(score1>45 & score2>45)
df2```

so the filtered data frame is

```   Code score1 score2 Score3
1    B     46     78     62
2    D     69     89     88
3    E     85     67     43
4    F     77     49     90
5    G     68     70     57```

Best Books to Learn R Programming – Data Science Tutorials

### Learning Tips!

The post Subsetting with multiple conditions in R appeared first on Data Science Tutorials