如何在R中筛选Kennziffer前两位为1-10的数据行

Since Kennziffer is a 4/5-character string, you need to target its first two characters to check if their numeric value falls between 1 and 10. Here's a tidyverse-compatible solution:

library(tidyverse)

new_object <- table_name %>%
  filter(between(as.numeric(str_sub(Kennziffer, 1, 2)), 1, 10))

Key Details: #

• str_sub(Kennziffer, 1, 2): Pulls the first 2 characters from each Kennziffer entry.
• as.numeric(...): Converts those two characters to a numeric value (e.g., "07" becomes 7, "10" becomes 10).
• between(..., 1, 10): Filters rows where the converted value is between 1 and 10 (inclusive).

Fixes to Your Original Code: #

• You don’t need to repeat table_name inside filter() when using the pipe (%>%)—the pipe automatically passes the data frame to the next function.
• Using == with multiple values fails because you’re comparing full strings, not just the first two characters.

Alternative Regex Approach:
If you prefer using regular expressions, this works too:

new_object <- table_name %>%
  filter(str_detect(Kennziffer, "^(0[1-9]|10)"))

This regex matches strings starting with 01-09 or 10, covering all cases where the first two digits equal 1-10.

内容的提问来源于stack exchange，提问作者GeoNerd