Just for the sake of completeness, we can use the operators [ and [[:
set.seed(1)
df <- data.frame(v1 = runif(10), v2 = letters[1:10])
Several options
df[df[1] < 0.5 | df[2] == "g", ]
df[df[[1]] < 0.5 | df[[2]] == "g", ]
df[df["v1"] < 0.5 | df["v2"] == "g", ]
df$name is equivalent to df[["name", exact = FALSE]]
Using dplyr:
library(dplyr)
filter(df, v1 < 0.5 | v2 == "g")
Using sqldf:
library(sqldf)
sqldf('SELECT *
FROM df
WHERE v1 < 0.5 OR v2 = "g"')
Output for the above options:
v1 v2
1 0.26550866 a
2 0.37212390 b
3 0.20168193 e
4 0.94467527 g
5 0.06178627 j