[英]Extract info from a list in R
I need to extract specific information from a list in R. My data is 'Benford' object and doesn't seem to be coercible using as_tibble()
我需要从 R 中的列表中提取特定信息。我的数据是“Benford”object 并且似乎无法使用as_tibble()
进行强制转换
My data looks as follows:我的数据如下所示:
library(dplyr)
library(purrr)
library(benford.analysis)
# read data
data = read.csv("https://www2.census.gov/programs-surveys/popest/datasets/2010-2019/counties/totals/co-est2019-alldata.csv", header = T)
# ONLY SELECT THE NUMERIC COLUMN
x <- data %>%
select(CENSUS2010POP)
# SPLIT THE DATA INTO TWO GROUPS
x$CITY <- "CITY_A"
x[1500:3193,2] <- "CITY_B"
# SPLIT THE DATA ON THE CITY VARIABLE
dat_list <- split(x,x$CITY)
# APPLY THE BENFORD ANALYSIS TO THE NUMERICAL VALUES PER GROUP
output <- map(dat_list, ~benford(number.of.digits = 1, discrete = TRUE, sign = "positive", data = .x$CENSUS2010POP))
I wish to create a data frame with the CITY
name ie CITY_A
in one column and the $ MAD.conformity
in another for each element in the list.我希望为列表中的每个元素创建一个带有CITY
名称的数据框,即一列中的CITY_A
和另一列中的$ MAD.conformity
。
Any help on how I can pull these elements from my list and store them in a data frame?关于如何从列表中提取这些元素并将它们存储在数据框中的任何帮助?
You can use purrr::map_dfr()
to extract MAD.conformity
on each iteration, row-bind the results, and add an .id
column containing the names of each element of dat_list
.您可以使用purrr::map_dfr()
在每次迭代中提取MAD.conformity
,行绑定结果,并添加一个包含dat_list
每个元素名称的.id
列。 Since dat_list
was created by split
ting on CITY
, the names already correspond to the levels of CITY
.由于dat_list
是通过在CITY
上split
创建的,因此名称已经对应于CITY
的级别。 (I'm not familiar with the structure of Benford
objects, so you may have to tweak the $MAD.conformity
index.) (我不熟悉Benford
对象的结构,因此您可能需要调整$MAD.conformity
索引。)
output <- map_dfr(
dat_list,
~ benford(
number.of.digits = 1,
discrete = TRUE,
sign = "positive",
data = .x$CENSUS2010POP
)$MAD.conformity,
.id = "CITY"
)
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