library(tidyverse)
df %>%
  group_by(name) %>%
  arrange(desc(var1), .by_group = TRUE) %>%
  fill(var1) %>%
  arrange(desc(var2), .by_group = TRUE) %>%
  fill(var2) %>%
  ungroup() %>%
  distinct()
  

library(tidyverse)
df <- data.frame(name = c("a","a","a","b","c","d","d"),
                 var1 = c("","abc","abc","","","x",""),
                 var2 = c("y","","y","","","","z"))
#先建一个表格
df[df == ""] <- NA
#先转为NA比较好做
df2 <- df %>% group_by(name) %>% summarise_all(function(x) x[!is.na(x)][1])
#summarise的自写函数返回结果必须长度是1（也对，毕竟summarise后每个group行数也只有1）
#当然啦只适用于每个group的每个var只有1个值的情况
# summarise_all可以用于你说的var3、var4等无数个var的情况，舒服！