How to remove specific columns when doing a logistic regression on all variables

Question

I would like to perform a logistic regression on all variables but two in a large data frame.How can i ask r to refer to all variable except those two without creating a new data frame. for example:

dat <- read.table(text = " female  apcalc    admit       num
  0        0        0         7
  0        0        1         1
  0        1        0         3
  0        1        1         7
  1        0        0         5
  1        0        1         1
  1        1        0         0
  1        1        1         6", header = TRUE)

I have this line of code :

Model1 <- glm(admit ~.,data=dat,family = 'binomial')

and i want to take out "female" and "apcalc". Can I do it in this single line of code?

Answer 1

EDIT

If you want to remove those columns for analysis, then either subset the data before running the model, or inside the glm call. Keep in mind the latter will slow the call to gml for larger data sets.

> dat2 <- dat[!names(dat) %in% c("female", "apcalc")]
  admit num
1     0   7
2     1   1
3     0   3
4     1   7
5     0   5
6     1   1
7     0   0
8     1   6

> glm(admit ~., data = dat2, family = 'binomial')

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ORIGINAL ANSWER

If you want to extract only the coefficients for female and apcalc, then

> glm(admit ~.,data=dat,family = 'binomial')$coef[c("female", "apcalc")]