I notice that you mention a function %like%
in your current approach. I don't know if that's a reference to the %like%
from "data.table", but if it is, you can definitely use it as follows.
Note that the object does not have to be a data.table
(but also remember that subsetting approaches for data.frame
s and data.table
s are not identical):
library(data.table)
mtcars[rownames(mtcars) %like% "Merc", ]
iris[iris$Species %like% "osa", ]
If that is what you had, then perhaps you had just mixed up row and column positions for subsetting data.
If you don't want to load a package, you can try using grep()
to search for the string you're matching. Here's an example with the mtcars
dataset, where we are matching all rows where the row names includes "Merc":
mtcars[grep("Merc", rownames(mtcars)), ]
mpg cyl disp hp drat wt qsec vs am gear carb
# Merc 240D 24.4 4 146.7 62 3.69 3.19 20.0 1 0 4 2
# Merc 230 22.8 4 140.8 95 3.92 3.15 22.9 1 0 4 2
# Merc 280 19.2 6 167.6 123 3.92 3.44 18.3 1 0 4 4
# Merc 280C 17.8 6 167.6 123 3.92 3.44 18.9 1 0 4 4
# Merc 450SE 16.4 8 275.8 180 3.07 4.07 17.4 0 0 3 3
# Merc 450SL 17.3 8 275.8 180 3.07 3.73 17.6 0 0 3 3
# Merc 450SLC 15.2 8 275.8 180 3.07 3.78 18.0 0 0 3 3
And, another example, using the iris
dataset searching for the string osa
:
irisSubset <- iris[grep("osa", iris$Species), ]
head(irisSubset)
# Sepal.Length Sepal.Width Petal.Length Petal.Width Species
# 1 5.1 3.5 1.4 0.2 setosa
# 2 4.9 3.0 1.4 0.2 setosa
# 3 4.7 3.2 1.3 0.2 setosa
# 4 4.6 3.1 1.5 0.2 setosa
# 5 5.0 3.6 1.4 0.2 setosa
# 6 5.4 3.9 1.7 0.4 setosa
For your problem try:
selectedRows <- conservedData[grep("hsa-", conservedData$miRNA), ]