Well, you may have good reasons to do things this way -- and you
certainly do not have to explain them here.
But you might wish to consider using R's poly() function and a basic
nested list structure to do something quite similar that seems much
simpler to me, anyway:
x <- rnorm(20)
df <- data.fr
I think there is a typo in your reprex l(x^2) ??
mydt[1,2] contains a list. Which when unlisted contains a load of data.
I'm not sure what you are asking for? Are you trying to unlist that and
have it as a row? Sort of pivot.wider if you like or unnest in tidyverse
concepts?
I think the data.tab
Às 22:25 de 21/09/2024, Naresh Gurbuxani escreveu:
I am trying to store regression objects in a data.table
df <- data.frame(x = rnorm(20))
df[, "y"] <- with(df, x + 0.1 * x^2 + 0.2 * rnorm(20))
mydt <- data.table(mypower = c(1, 2), myreg = list(lm(y ~ x, data = df),
lm(y ~ x + I(x^2), data = df
I am trying to store regression objects in a data.table
df <- data.frame(x = rnorm(20))
df[, "y"] <- with(df, x + 0.1 * x^2 + 0.2 * rnorm(20))
mydt <- data.table(mypower = c(1, 2), myreg = list(lm(y ~ x, data = df),
lm(y ~ x + I(x^2), data = df)))
mydt
# mypower myreg
#
#1: 1
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