I have one excel sheet that contains two tables separated by two empty rows (NAs) that is similar to this:
x <- c("Speed", "Fuel_level", "OpHours", NA, NA, "Warning", "TempSensor", "TripDistance")
y <- c("kmph", "liter", "hr", NA, NA, "msg", "C", "km")
df <- data.frame(x,y)
Is there a function in R where I can split this data frame on NAs into two data frames to look like this?
x y
1 Speed kmph
2 Fuel_level liter
3 OpHours hr
x y
1 Warning msg
2 TempSensor C
3 TripDistance km
A simple way, but you have to know which rows have the NAs.
library(dplyr)
x <- c("Speed", "Fuel_level", "OpHours", NA, NA, "Warning", "TempSensor", "TripDistance")
y <- c("kmph", "liter", "hr", NA, NA, "msg", "C", "km")
df <- data.frame(x,y)
slice(df, 1:3)
#> x y
#> 1 Speed kmph
#> 2 Fuel_level liter
#> 3 OpHours hr
slice(df, 6:8)
#> x y
#> 1 Warning msg
#> 2 TempSensor C
#> 3 TripDistance km
Created on 2022-06-21 by the reprex package (v2.0.1)
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