tidyr

问题 I have data where I need to create a variable based on prior history, for example created<- c(2009,2010,2010,2011, 2012, 2011) person <- c(A, A, A, A, B, B) location<- c('London','Geneva', 'London', 'New York', 'London', 'London') df <- data.frame (created, person, location) I want to create a variable called 'existing' that takes into account the prior years and sees if he/she has lived in that place and gives a value of 0 if the place is old(and they lived there. Any suggestions? library

问题 I have data where I need to create a variable based on prior history, for example created<- c(2009,2010,2010,2011, 2012, 2011) person <- c(A, A, A, A, B, B) location<- c('London','Geneva', 'London', 'New York', 'London', 'London') df <- data.frame (created, person, location) I want to create a variable called 'existing' that takes into account the prior years and sees if he/she has lived in that place and gives a value of 0 if the place is old(and they lived there. Any suggestions? library

问题 I have data where I need to create a variable based on prior history, for example created<- c(2009,2010,2010,2011, 2012, 2011) person <- c(A, A, A, A, B, B) location<- c('London','Geneva', 'London', 'New York', 'London', 'London') df <- data.frame (created, person, location) I want to create a variable called 'existing' that takes into account the prior years and sees if he/she has lived in that place and gives a value of 0 if the place is old(and they lived there. Any suggestions? library

问题 I have a data frame like so: df <- structure(list(A = c("3 of 5", "1 of 2", "1 of 3", "1 of 3", "3 of 4", "2 of 7"), B = c("2 of 2", "2 of 4", "0 of 1", "0 of 0", "0 of 0", "0 of 0"), C = c("10 of 21", "3 of 14", "11 of 34", "10 of 35", "16 of 53", "17 of 62"), D = c("0 of 0", "0 of 0", "0 of 0", "0 of 0", "0 of 0", "0 of 0"), E = c("8 of 16", "3 of 15", "10 of 32", "6 of 28", "13 of 49", "9 of 48")), class = c("tbl_df", "tbl", "data.frame"), row.names = c(NA, -6L)) df |A |B |C |D |E | |:----

问题 I have a data frame like so: df <- structure(list(A = c("3 of 5", "1 of 2", "1 of 3", "1 of 3", "3 of 4", "2 of 7"), B = c("2 of 2", "2 of 4", "0 of 1", "0 of 0", "0 of 0", "0 of 0"), C = c("10 of 21", "3 of 14", "11 of 34", "10 of 35", "16 of 53", "17 of 62"), D = c("0 of 0", "0 of 0", "0 of 0", "0 of 0", "0 of 0", "0 of 0"), E = c("8 of 16", "3 of 15", "10 of 32", "6 of 28", "13 of 49", "9 of 48")), class = c("tbl_df", "tbl", "data.frame"), row.names = c(NA, -6L)) df |A |B |C |D |E | |:----

来源： https://stackoverflow.com/questions/61361728/tidyverse-pivot-longer-several-sets-of-columns-but-avoid-intermediate-mutate-wi

来源： https://stackoverflow.com/questions/61361728/tidyverse-pivot-longer-several-sets-of-columns-but-avoid-intermediate-mutate-wi

来源： https://stackoverflow.com/questions/61742263/pivot-wider-when-theres-no-names-column-or-when-names-column-should-be-created

来源： https://stackoverflow.com/questions/61742263/pivot-wider-when-theres-no-names-column-or-when-names-column-should-be-created

来源： https://stackoverflow.com/questions/53303554/data-frame-from-wide-to-long-with-multiple-variables-and-ids-r