I\'m using R for a pharmacodynamic analysis and I\'m fairly new to programming.
The thing is, I\'m carrying out linear regression analysis and in the future I will
I think one option could be sink() which will output the results to a text file rather than the console. In the absence of your dataset I've used cars for an example:
sink("lm.txt")
print(summary(lm(cars$speed ~ cars$dist)))
sink() # returns output to the console
lm.txt now looks like this:
Call:
lm(formula = cars$speed ~ cars$dist)
Residuals:
Min 1Q Median 3Q Max
-7.5293 -2.1550 0.3615 2.4377 6.4179
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 8.28391 0.87438 9.474 1.44e-12 ***
cars$dist 0.16557 0.01749 9.464 1.49e-12 ***
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Residual standard error: 3.156 on 48 degrees of freedom
Multiple R-squared: 0.6511, Adjusted R-squared: 0.6438
F-statistic: 89.57 on 1 and 48 DF, p-value: 1.49e-12
@Roland 's suggestion of knitr is a bit more involved, but could be worth it because you can knit input, text output, and figures in to one report or html file easily.