filter(condition1, condition2)两个条件都符合; filter(condition1, !condition2)条件1是TRUE,条件2是FALSE; filter(condition1 | condition2)两个条件符合其中一个即可; filter(xor(condition1, condition2)只有一个条件符合!两个都符合不可以。注意使用 1)筛选 (bodywt大于100 ) 且 (sleep_total大于15 或者 ...
2 Asian elephant Proboscidea 3.9 NA NA 20.1 4.60 2547 额,注意逻辑! 注:多个条件可以用AND, OR ,NOT 组合 2 筛选非空行 is.na内置完成 NA的筛选 #去除conservation是NA的所有行msleep %>% select(name, conservation:sleep_cycle) %>% filter(!is.na(conservation))# A tibble: 54 x 5 name ...
不等于方式:filter(order != "Rodentia") 2 多个变量筛选 %in%实现多个变量选择 代码语言:javascript 复制 msleep%>%select(order,name,sleep_total)%>%filter(order%in%c("Didelphimorphia","Diprotodontia"))#Atibble:4x3order name sleep_total<chr><chr><dbl>1Didelphimorphia North American Opossum182Didel...
na.rm=))#运用案例1by_day<-group_by(flights,year,month,day)%>%summarize(delay=mean(dep_delay,na.rm=T))by_day#运用案例2delays<-flights%>%group_by(dest)%>%summarize(count=n(),dist=mean(distance,na.rm=T),delay=mean(arr_delay,na.rm=T))%>%filter(count>20,dest!='HNL')...
filter(!is.na(Sequence)) %>% count(Sequence) 这段代码在我的家用电脑上运行良好,但在学校,我们有一个旧版本的R(我们没有互联网连接,即无法更新/安装新的软件包)。当我尝试在学校计算机上运行此代码时,我收到以下错误: Error: Column 'Sequence' must be length 1 (a summary value), not 12 ...
filter should warn or prevent users from using named logical inputs #7105 openedNov 21, 2024byconig 1 dplyr::cur_column don't support dtplyr #7102 openedNov 8, 2024byLongfei2 bind_rows.idwithNAvalues in names of list #7100 openedNov 1, 2024bymuschellij2 ...
not_cancelled<-flights%>%filter(!is.na(dep_delay),!is.na(arr_delay))not_cancelled%>%group_by(year,month,day)%>%summarise(mean=mean(dep_delay))#>`summarise()` regrouping output by'year','month'(override with `.groups` argument)#># A tibble:365x4#># Groups:year,month[12]#>year...
starwars%>% filter(!is.na(species)) %>% count(species,sort=TRUE)#> # A tibble: 37 × 2#> species n#> <chr> <int>#> 1 Human 35#> 2 Droid 6#> 3 Gungan 3#> 4 Kaminoan 2#> 5 Mirialan 2#> 6 Twi'lek 2#> 7 Wookiee 2#> 8 Zabrak 2#> 9 Aleena 1#> 10 Besalisk 1...
filter(., Source %in% c("Total Gage R&R", " Repeatability", " Reproducibility", "Part-To-Part")) %>% select(all_of(col_select)) %>% pivot_longer(c(2:ncol(.)), names_to = "Variation", values_to = "Components") %>%
1. mtcars %>% filter(if_all(3:4,~.x>200)) #3:4选列,每个值都大于200 1 22. data %>% filter(if_all(everything(),~!is.na(.x))) #所有列观测值全部非NA 1 23. data %>% filter(if_any(everything(),~ str_ detect(.x,"bl"))) #存在bl的行 1 2...