R:从不规则向量创建数据帧

R:从不规则向量创建数据帧,r,R,我正在寻找从网页上截取的不规则信息向量,并将其转换为数据帧 例如,给定一个如下所示的向量: vec <- c("Bank of America", "6%", "JP Morgan", "5%", "Bank of China", "UBS", "7%") df <- tibble(bank.name = c("Bank of America", "JP Morgan","Bank of China","UBS"), interest.rate = c(6%, 5%, NA, 7%

我正在寻找从网页上截取的不规则信息向量,并将其转换为数据帧

例如,给定一个如下所示的向量:

vec <- c("Bank of America", "6%", "JP Morgan", "5%", "Bank of China", "UBS", "7%")
df <- tibble(bank.name = c("Bank of America", "JP Morgan","Bank of China","UBS"), interest.rate = c(6%, 5%, NA, 7%))
test <- c("Bank of America", "6%", "JP Morgan", "5%", "Bank of China", "UBS", "7%")
df <- tibble(bank = test, rate = lead(test,1))

df %>%
    filter(str_detect(bank, "%")== FALSE) %>% #Includes only rows that are banks
    mutate(rate = ifelse(str_detect(rate, "%") == TRUE, rate, NA)) # converts non-rate values to NA
vec试试这个

library(data.table) # using data.table because the syntax is nicer
test <- c("Bank of America", "6%", "JP Morgan", "5%", "Bank of China", "UBS", "7%")
dt <- data.table(bank.name = test, interest.rate = shift(test, n = 1, type = "lead"))
dt <- dt[! grepl("%", bank.name)]
dt[! grepl("%", interest.rate), interest.rate := NA]
dt
#           bank.name interest.rate
# 1:  Bank of America            6%
# 2:        JP Morgan            5%
# 3:    Bank of China            NA
# 4:              UBS            7%
library(data.table)#使用data.table,因为语法更好

测试你能指出函数“tibble”来自哪个包吗?@guscht它来自
tidyverse
tibble
@guscht Tibbles是Hadley Wickham的tidyverse中的一个对象,你可以在这里阅读Wickham的解释: