Reputation: 33
I have generated my model using
assign(paste("Model", MV1, sep = '') , glm(tv1 ~., family=binomial(link='logit'),
data=train70))
Now I would like to run the summary function on my output. I used the below code but rather then generating the co-efficents etc for my model I get a summary of a chracter variable. How do I tweak my code to run the summary for the model?
summary(paste("Model", MV1, sep = ''))
Upvotes: 0
Views: 69
Reputation: 214927
You can use get
function, which helps you evaluate the object with the name of a character. Here is a toy example:
x <- 1:10
y <- x + rnorm(10)
assign("model", lm(y ~ x))
summary(get("model"))
Call:
lm(formula = y ~ x)
Residuals:
Min 1Q Median 3Q Max
-0.4863 -0.3476 -0.1218 0.2645 0.7806
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) -0.01189 0.30979 -0.038 0.97
x 0.93818 0.04993 18.791 6.65e-08 ***
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Residual standard error: 0.4535 on 8 degrees of freedom
Multiple R-squared: 0.9778, Adjusted R-squared: 0.9751
F-statistic: 353.1 on 1 and 8 DF, p-value: 6.646e-08
So for your case, summary(get(paste("Model", MV1, sep = '')))
should work for you.
Upvotes: 1