Replacing values across a data frame's variables from a list of nested data frames
Let's presume I have the following dataframe:
df <- data.frame(x = rnorm(10), y = rnorm(10), z = rnorm(10))
And I would like to replace the values in the variables by their corresponding data frame and variable names in the following list:
replace_df <- list(x = data.frame(x = 1:10),
y = data.frame(y = 11:20),
z = data.frame(z = 21:30))
How would I do that using dplyr
?
I feel like my issue is related to this Q&A, but I haven't been able to implement the answers to that question correctly to my situation.
I've attempted the below, among others, without success:
library(tidyverse)
variables <- c("x", "y", "z")
df %>%
mutate_at(vars(variables), funs(replace_df[[.]][[.]]))
The "dumb" way would be the following:
df %>%
mutate(x = replace_df[["x"]][["x"]],
y = replace_df[["y"]][["y"]],
z = replace_df[["z"]][["z"]])
r dplyr rlang
add a comment |
Let's presume I have the following dataframe:
df <- data.frame(x = rnorm(10), y = rnorm(10), z = rnorm(10))
And I would like to replace the values in the variables by their corresponding data frame and variable names in the following list:
replace_df <- list(x = data.frame(x = 1:10),
y = data.frame(y = 11:20),
z = data.frame(z = 21:30))
How would I do that using dplyr
?
I feel like my issue is related to this Q&A, but I haven't been able to implement the answers to that question correctly to my situation.
I've attempted the below, among others, without success:
library(tidyverse)
variables <- c("x", "y", "z")
df %>%
mutate_at(vars(variables), funs(replace_df[[.]][[.]]))
The "dumb" way would be the following:
df %>%
mutate(x = replace_df[["x"]][["x"]],
y = replace_df[["y"]][["y"]],
z = replace_df[["z"]][["z"]])
r dplyr rlang
add a comment |
Let's presume I have the following dataframe:
df <- data.frame(x = rnorm(10), y = rnorm(10), z = rnorm(10))
And I would like to replace the values in the variables by their corresponding data frame and variable names in the following list:
replace_df <- list(x = data.frame(x = 1:10),
y = data.frame(y = 11:20),
z = data.frame(z = 21:30))
How would I do that using dplyr
?
I feel like my issue is related to this Q&A, but I haven't been able to implement the answers to that question correctly to my situation.
I've attempted the below, among others, without success:
library(tidyverse)
variables <- c("x", "y", "z")
df %>%
mutate_at(vars(variables), funs(replace_df[[.]][[.]]))
The "dumb" way would be the following:
df %>%
mutate(x = replace_df[["x"]][["x"]],
y = replace_df[["y"]][["y"]],
z = replace_df[["z"]][["z"]])
r dplyr rlang
Let's presume I have the following dataframe:
df <- data.frame(x = rnorm(10), y = rnorm(10), z = rnorm(10))
And I would like to replace the values in the variables by their corresponding data frame and variable names in the following list:
replace_df <- list(x = data.frame(x = 1:10),
y = data.frame(y = 11:20),
z = data.frame(z = 21:30))
How would I do that using dplyr
?
I feel like my issue is related to this Q&A, but I haven't been able to implement the answers to that question correctly to my situation.
I've attempted the below, among others, without success:
library(tidyverse)
variables <- c("x", "y", "z")
df %>%
mutate_at(vars(variables), funs(replace_df[[.]][[.]]))
The "dumb" way would be the following:
df %>%
mutate(x = replace_df[["x"]][["x"]],
y = replace_df[["y"]][["y"]],
z = replace_df[["z"]][["z"]])
r dplyr rlang
r dplyr rlang
asked Nov 21 '18 at 21:35
PhilPhil
1,774628
1,774628
add a comment |
add a comment |
1 Answer
1
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oldest
votes
You need to use expr
! I am not sure if the subsetting will work as you tried above, but I was able to get the correct output by making a simple function and passing in an argument that was wrapped in expr()
df <- data.frame(x = rnorm(10), y = rnorm(10), z = rnorm(10))
replace_df <- list(x = data.frame(x = 1:10),
y = data.frame(y = 11:20),
z = data.frame(z = 21:30))
my_func <- function(string) {
return(
replace_df[[string]][[string]]
)
}
df %>%
mutate_at(vars(x, y, z), funs(my_func(expr(.))))
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
You need to use expr
! I am not sure if the subsetting will work as you tried above, but I was able to get the correct output by making a simple function and passing in an argument that was wrapped in expr()
df <- data.frame(x = rnorm(10), y = rnorm(10), z = rnorm(10))
replace_df <- list(x = data.frame(x = 1:10),
y = data.frame(y = 11:20),
z = data.frame(z = 21:30))
my_func <- function(string) {
return(
replace_df[[string]][[string]]
)
}
df %>%
mutate_at(vars(x, y, z), funs(my_func(expr(.))))
add a comment |
You need to use expr
! I am not sure if the subsetting will work as you tried above, but I was able to get the correct output by making a simple function and passing in an argument that was wrapped in expr()
df <- data.frame(x = rnorm(10), y = rnorm(10), z = rnorm(10))
replace_df <- list(x = data.frame(x = 1:10),
y = data.frame(y = 11:20),
z = data.frame(z = 21:30))
my_func <- function(string) {
return(
replace_df[[string]][[string]]
)
}
df %>%
mutate_at(vars(x, y, z), funs(my_func(expr(.))))
add a comment |
You need to use expr
! I am not sure if the subsetting will work as you tried above, but I was able to get the correct output by making a simple function and passing in an argument that was wrapped in expr()
df <- data.frame(x = rnorm(10), y = rnorm(10), z = rnorm(10))
replace_df <- list(x = data.frame(x = 1:10),
y = data.frame(y = 11:20),
z = data.frame(z = 21:30))
my_func <- function(string) {
return(
replace_df[[string]][[string]]
)
}
df %>%
mutate_at(vars(x, y, z), funs(my_func(expr(.))))
You need to use expr
! I am not sure if the subsetting will work as you tried above, but I was able to get the correct output by making a simple function and passing in an argument that was wrapped in expr()
df <- data.frame(x = rnorm(10), y = rnorm(10), z = rnorm(10))
replace_df <- list(x = data.frame(x = 1:10),
y = data.frame(y = 11:20),
z = data.frame(z = 21:30))
my_func <- function(string) {
return(
replace_df[[string]][[string]]
)
}
df %>%
mutate_at(vars(x, y, z), funs(my_func(expr(.))))
answered Nov 21 '18 at 22:31
buchmaynebuchmayne
10917
10917
add a comment |
add a comment |
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