############################################################## LISTA 2 ############################################################## ###################################################### INTRODUÇÃO AO R - 2021 ####################################################### ############################################################## BLOCO 5 ############################################################## ############################################################ Dataframes ############################################################# #29 - Transforme a matriz final da lista anterior em um dataframe. Atençao: necessario transpor a matriz #30 - Crie o seguinte data frame (rode o código) df <- data.frame(paste("0000", 1:25, sep = ""), #código factor(rep(c("branca", "negra", "indígena"), c(10, 10, 5))), #repete as categorias factor(rep(c("F","M"), c(13,12))), #repete as categorias sample(c(16:50), 25, replace = T), #sorteio de idade factor(rep(c("superior","tecnico", "medio"), c(5, 8, 12))), #repete as categorias sample(seq(500, 30000, by = 500), 25, replace = T), #sequencia para formar a variavel renda factor(rep(c("solteiro","casado", "viuvo", "separado"), c(5, 10, 2, 8)))) #repete as categorias colnames(df) <- c("individuo", "raca", "sexo", "idade", "escol", "renda", "civil")#repete as categorias #31 - Selecione as mulheres do seu data frame #32 - Selecione os homens negros maiores de 30 anos do seu data frame #33 - Selecione mulheres brancas com renda maior que 1500 #34 - Selecione pessoas com nivel superior que tem mais que 20 anos. #35 - Ordene o seu data frame por ordem crescente de idade ############################################################## BLOCO 6 ############################################################## ############################################################## Listas ############################################################## #36 - Crie uma lista com os vetores, matrizes e data frames que voce tem armazenado na memoria #37 - Selecione um elemento dentro de uma matriz da sua lista #38 - Selecione um caso (linha) dentro de um dataframe da sua lista