I want to filter rows from a data.frame based on a logical condition. Let's suppose that I have a data frame like
expr_value cell_type
1 5.345618 bj fibroblast
2 5.195871 bj fibroblast
3 5.247274 bj fibroblast
4 5.929771 hesc
5 5.873096 hesc
6 5.665857 hesc
7 6.791656 hips
8 7.133673 hips
9 7.574058 hips
10 7.208041 hips
11 7.402100 hips
12 7.167792 hips
13 7.156971 hips
14 7.197543 hips
15 7.035404 hips
16 7.269474 hips
17 6.715059 hips
18 7.434339 hips
19 6.997586 hips
20 7.619770 hips
21 7.490749 hips
What I want to is to get a new data frame which looks the same but only has the data for one cell_type. E.g. subset / select rows which contain the cell type "hesc":
expr_value cell_type
1 5.929771 hesc
2 5.873096 hesc
3 5.665857 hesc
Or either cell type "bj fibroblast" or "hesc":
expr_value cell_type
1 5.345618 bj fibroblast
2 5.195871 bj fibroblast
3 5.247274 bj fibroblast
4 5.929771 hesc
5 5.873096 hesc
6 5.665857 hesc
Is there any easy way to do this?
I've tried:
expr[expr[2] == 'hesc']
# [1] "5.929771" "5.873096" "5.665857" "hesc" "hesc" "hesc"
if the original data frame is called "expr", but it gives the results in the wrong format as you can see.