使用 tidyquant 库中的 tq_get function 创建 for 循环，以获取 state 在 R 中的失业申请？ [包括图像和代码]

Question

Goal: I want to get initial unemployment filings by state in a table for every state in the US

Here is the example I am following: Link

Here is a quick snippet of the code from that link:

ga_claims <- 
  "GAICLAIMS" %>% 
  tq_get(get = "economic.data", 
         from = "1999-01-01") %>% 
  rename(claims = price) 

That first filter is for Georgia. However, I want it for all states . I was able to create a csv file to concatenate all state abbreviations with the 'ICLAIMS'. I simply want to pass a for loop through my function you see below. Attached is a screenshot of the csv I uploaded that has all the states with in that format...'CAICLAIMS', 'NYICLAIMS', 'ALICLAIMS' and so on...

Answer 1

We can create a function:

library(dplyr)
library(tidyquant)

get_data <- function(x) {
  x %>% 
    tq_get(get = "economic.data",from = "1999-01-01") %>% 
    rename(claims = price) 
}

and pass each Claim_Code through lapply .

lapply(df$Claim_Code, get_data)

If you want to combine this into one dataframe, we can do:

do.call(rbind, Map(cbind, lapply(df$Claim_Code, get_data), 
               Claim_Code = df$Claim_Code))

#         date claims Claim_Code
#1   1999-01-02   9674  GAICLAIMS
#2   1999-01-09  19455  GAICLAIMS
#3   1999-01-16  20506  GAICLAIMS
#4   1999-01-23  12932  GAICLAIMS
#5   1999-01-30  10871  GAICLAIMS
#6   1999-02-06   7997  GAICLAIMS

OR using purrr .

library(purrr)
map2_df(map(df$Claim_Code, get_data), df$Claim_Code, cbind)

data

df <- data.frame(Claim_Code = c('GAICLAIMS', 'ALICLAIMS', 'AZICLAIMS'), 
                 stringsAsFactors = FALSE)