How to filter the rows needed in R programming language?

In R language, you can use logical operators to filter the rows you need. Here are several common methods:

1. Filter specific values in a column using the logical operator “==”

df <- df[df$column == value, ]

This will filter out the rows in the df dataframe where the values in the column column are equal to value.

1. Filter a specific range in a column using logical operators “>,” “<," ">=” and “<=".

df <- df[df$column > minValue & df$column < maxValue, ]

This will filter out the rows in the df data frame where the values in the column column are greater than minValue and less than maxValue.

1. Filter rows in a specific column that meet multiple specific values using the logical operator “%in%”.

values <- c(value1, value2, value3)
df <- df[df$column %in% values, ]

This will filter out the rows in the df dataframe where the values in the column column are equal to value1, value2, or value3.

1. Filter rows in a specific column that contain a specific string using the logical operator “grepl()”.

df <- df[grepl("keyword", df$column), ]

This will filter the rows in the df data frame where the column contains the string “keyword”.

1. Filter rows with missing values in a certain column using the logical operator “is.na()”.

df <- df[is.na(df$column), ]

This will filter out the rows in the df data frame where there are missing values in the column column.