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...only", and so forth. Also note that individual components of nested lists can be extracted by giving a vector to [[ instead of repeated [['s. For example: result[[2]][[2]] ## the reg component of the degree 2 polynomial ## is the same as result[[c(2,2)]] ## this is a bit easier for me to groc. Again, feel free to ignore without replying if my gratuitous remarks are unhelpful. Cheers, Bert On Sat, Sep 21, 2024 at 2:25?PM Naresh Gurbuxani <naresh_gurbuxani at hotmail.com> wrote: > > I am trying to store regression objects in a data.table > > df <- data.frame(x = r...

.... Also > note that individual components of nested lists can be extracted by > giving a vector to [[ instead of repeated [['s. For example: > result[[2]][[2]] ## the reg component of the degree 2 polynomial > ## is the same as > result[[c(2,2)]] ## this is a bit easier for me to groc. > > Again, feel free to ignore without replying if my gratuitous remarks > are unhelpful. > > Cheers, > Bert > > > On Sat, Sep 21, 2024 at 2:25?PM Naresh Gurbuxani > <naresh_gurbuxani at hotmail.com> wrote: >> I am trying to store regression objects in a d...

Hi! I have a question that is probably very basic, but I cannot figure out how to do it. I simply need to compare the significance of a regression slope against a slope of 1, instead of the default of zero. I know this topic has been posted before, and I have tried to use the advice given to others to fix my problem. I tried the offset command based on one of these advice threads as follows:

Hi I want to do a series of linear models, and would like to define the input arguments for lm() as variables. I managed easily to define the formula arguments in a variable, but I also would like to have the "subset" in a variable. My reasoning is, that I have the subset in the results object. So I wiould like to add a line like: subs <- dead==FALSE & recTreat==FALSE which

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 #???? <num>?? <list> #1:?????? 1 <lm[12]> #2:?????? 2 <lm[12]> But mydt[1, 2]