prefer to build rmd locally

.travis.yml

@@ -1,22 +1,13 @@
 dist: xenial
 language: python
-before_install:
-  - sudo add-apt-repository "deb http://cloud.r-project.org/bin/linux/ubuntu $(lsb_release -sc)/"
-  - sudo apt-key adv --keyserver keyserver.ubuntu.com --recv-keys E298A3A825C0D65DFD57CBB651716619E084DAB9
-  - sudo apt-get update
-  - sudo apt-get install r-base
-  - sudo apt-get install pandoc
-  - sudo apt-get install gfortran
-  - echo 'local({r = getOption("repos"); r["CRAN"] = "http://cloud.r-project.org/"; options(repos = r)})' > .Rprofile
-  - sudo Rscript -e 'install.packages(c("digest", "stringr", "knitr", "yaml", "htmltools", "rmarkdown"))'
 install:
   - pip install mkdocs==0.17.2
   - pip install mkdocs-material==2.5.2
   - pip install pymdown-extensions
   - pip install python-markdown-math
 script:
   - mkdocs build
-  - cd rmds && sudo Rscript -e 'library(rmarkdown); rmarkdown::render_site()' && sudo mv _site/ ../site/rmds
+  - mv rmds/_site/ site/rmds
 
 deploy:
   provider: pages

rmds/glmnet.Rmd

@@ -84,7 +84,6 @@ y = X %*% beta + 3 * rnorm(n)
 We fit two models, one uses the default options, another use `penalty.factor=rep(2,5)`
 
 ```{r}
-install.packages("glmnet")
 library(glmnet)
 fit = glmnet(X, y)
 fit2 = glmnet(X, y, penalty.factor = rep(2, 5))