Using dplyr
library(dplyr) conditions = c('Symbol %in% "ABM"', 'Growth > 1.2', 'Yield > 2', 'Yield < 3', 'PE > 3') df %>% filter_(conditions) Symbol Yield PE Growth 1 ABM 2.24 21.18 3.33
Data
structure(list(Symbol = structure(1:15, .Label = c("ABBV", "ABM", "ABT", "ADM", "ADP", "AFL", "ALB", "ANDE", "AOS", "APD", "ARLP", "AROW", "ARTNA", "ATNI", "ATO"), class = "factor"), Yield = c(3.46, 2.24, 2.26, 1.91, 2.46, 2.25, 1.44, 1.02, 1.29, 2.41, 5.5, 3.83, 3.67, 1.68, 2.97), PE = c(18.8, 21.18, 23.65, 22.29, 25.83, 9.26, 13.53, 19.59, 25.11, 25.08, 11.69, 14.68, 23.91, 3.14, 18.59), Growth = c(5, 3.33, 10.85, 9.08, 8.57, 5.97, 13.15, 5.74, 9.99, 2.53, 1.99, 1.01, 3.2, 7.5, 1.72)), .Names = c("Symbol", "Yield", "PE", "Growth"), class = "data.frame", row.names = c("1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15"))