count number of instances that one column has a zero and matching row has a non-zero value in r

You can count the number of instances in which one column has a zero and the matching row has a non-zero value in R by using the dplyr package. Here's an example to achieve that:

# Assuming your data frame is named "df" and the column with zero values is "column1", and the column you want to match is "column2"

library(dplyr)

result <- df %>%
  filter(column1 == 0 & column2 != 0) %>%
  summarise(count = n())

result
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This code will filter the rows where column1 has a zero and column2 has a non-zero value, then it will calculate the count of such instances.