[英]“Error: Argument 1 must be a data frame or a named atomic vector. ” for `purrr::map_dfr()`
I was trying to run a regression models on multiple subgroups of a dataframe using purrr::map_dfr()
, but somehow I get this somewhat weird error.我试图使用
purrr::map_dfr()
在数据帧的多个子组上运行回归模型,但不知何故我得到了这个有点奇怪的错误。
library(dplyr)
library(purrr)
# Create some data
test_df = map_dfr(seq_len(5), ~mtcars, .id = 'group')
# Run regression on subgroups
map_dfr(seq_len(5),
~ function(.x){
glm(am ~ mpg + cyl + disp + hp + drat + wt + qsec + vs + gear + carb,
family = binomial,
data = test_df[group == .x,]) %>%
coefficients()
},
.id = 'group')
Error: Argument 1 must be a data frame or a named atomic vector.
Run `rlang::last_error()` to see where the error occurred.
Any suggestion will be appreciated.任何建议将不胜感激。
If we are using function(x)
, there is no need for ~
or viceversa.如果我们使用
function(x)
,则不需要~
或反之亦然。 It is a lambda function compact syntax in tidyverse
它是
tidyverse
的 lambda 函数紧凑语法
map_dfr(seq_len(5),
~ {
glm(am ~ mpg + cyl + disp + hp + drat + wt + qsec + vs + gear + carb,
family = binomial,
data = test_df[test_df$group == .x,]) %>%
coefficients()
},
.id = 'group')
-output -输出
# A tibble: 5 x 12
group `(Intercept)` mpg cyl disp hp drat wt qsec vs gear carb
<chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1 1 -11.6 -0.881 2.53 -0.416 0.344 23.2 7.44 -7.58 -47.0 42.9 -21.6
2 2 -11.6 -0.881 2.53 -0.416 0.344 23.2 7.44 -7.58 -47.0 42.9 -21.6
3 3 -11.6 -0.881 2.53 -0.416 0.344 23.2 7.44 -7.58 -47.0 42.9 -21.6
4 4 -11.6 -0.881 2.53 -0.416 0.344 23.2 7.44 -7.58 -47.0 42.9 -21.6
5 5 -11.6 -0.881 2.53 -0.416 0.344 23.2 7.44 -7.58 -47.0 42.9 -21.6
NOTE: output is the same as the input example was using the same data注意:输出与使用相同数据的输入示例相同
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