Replacing loop in dplyr R -

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so trying program function dplyr withou loop , here not know how do

say have tv stations (x,y,z) , months (2,3). if group output summarised numeric value

tv  months  value  x    2      52 y    2      87 z    2      65 x    3      180 y    3       36 z    3       99

this evaluated brand.

then have many brands need filter value >=0.8*value of evaluated brand & <=1.2*value of evaluated brand

so example down want filter first two, , should done months&tv combinations

brand  tv month value  sdg     x  2     60 sdfg    x  2     55 shs     x  2     120 sdg     x  2     11 sdga    x  2     5000

as @akrun said, need use combination of merging , subsetting. here's base r solution.

m <- merge(df, data, by.x=c("tv", "month"), by.y=c("tv", "months")) m[m$value.x >= m$value.y*0.8 & m$value.x <= m$value.y*1.2,][,-5] #  tv month brand value.x #1  x     2   sdg      60 #2  x     2  sdfg      55

data

data <- structure(list(tv = structure(c(1l, 2l, 3l, 1l, 2l, 3l), .label = c("x",  "y", "z"), class = "factor"), months = c(2l, 2l, 2l, 3l, 3l,  3l), value = c(52l, 87l, 65l, 180l, 36l, 99l)), .names = c("tv",  "months", "value"), class = "data.frame", row.names = c(na, -6l ))  df <- structure(list(brand = structure(c(2l, 1l, 4l, 2l, 3l), .label = c("sdfg",  "sdg", "sdga", "shs"), class = "factor"), tv = structure(c(1l,  1l, 1l, 1l, 1l), .label = "x", class = "factor"), month = c(2l,  2l, 2l, 2l, 2l), value = c(60l, 55l, 120l, 11l, 5000l)), .names = c("brand",  "tv", "month", "value"), class = "data.frame", row.names = c(na,  -5l))

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