您可以使用tidyverse“filter”，并使用“&"表示多个条件：

df %>% filter(number == 0 & number2different == 0 & number3different == 0)

# Sample Data
df <- data.frame(name = c('sai','ram','deepika','sahithi','kumar','scott','Don','Lin'),
  number = c(0,1,2,3,1,0,2,1),
  number2different = c(0,1,1,1,2,1,1,0),
  number3differentname = c(0,1,0,1,2,0,1,2))

# Subsetting by the 'name' column those rows where all other columns equal zero
df$name[rowSums(df[names(df) != "name"]) == 0]

# Subsetting by row where the specified columns sum to zero
df[rowSums(df[names(df) != "name"]) == 0,]

# Subsetting by row where the specified columns fall within the range (1:2)
df[rowSums(sapply(df[names(df) != "name"], function(x) x >= 1 & x <= 2)) == ncol(df[names(df) != "name"]),]