It is necessary in one Item column to simultaneously do filtering on a specific product and on the values ​​of "NA", so that the result will be:

Item NA Phone NA NA NA

The following code does not give results:

filter_table <- filter(.data = restore_demand, is.na(Item) & Item == "Phone")
  • | instead of & . - Artem Klevtsov

1 answer 1

Completed example by comments Artem Klevtsov

 # создаем тестовый набор данных df.tst <- data.frame(Item = as.character(c(NA, "Phone", "Model1", "Model1", "Model2", NA, NA, "Phone", "Phone", "Model2", "Model3", "Model2", NA, NA, "Phone"))) Результат: > df.tst Item 1 <NA> 2 Phone 3 Model1 4 Model1 5 Model2 6 <NA> 7 <NA> 8 Phone 9 Phone 10 Model2 11 Model3 12 Model2 13 <NA> 14 <NA> 15 Phone # подключаем пакет library(dplyr) # фильтруем данные df.rslt <- filter(df.tst, is.na(Item) == TRUE | Item=="Phone") > df.rslt Item 1 <NA> 2 Phone 3 <NA> 4 <NA> 5 Phone 6 Phone 7 <NA> 8 <NA> 9 Phone