I am trying to develop slides for a course I am teaching in Org mode compiling to a latex beamer presentation. Overall most things are working fine. But for some reason I am having trouble getting two R plots aligned. Here is how the relevant slide looks currently. The problem should be obvious.
Here is the code for the presentation:
#+TITLE: my class #+AUTHOR: me #+EMAIL: [email protected] #+BEAMER_HEADER: \institute[]{Penn State University} #+DATE: #+DESCRIPTION: #+KEYWORDS: #+LANGUAGE: en #+BEAMER_THEME: Boadilla #+BEAMER_HEADER: #+latex_class: beamer #+latex_compiler: pdflatex #+LaTeX_HEADER: \usepackage{pdfpages} #+OPTIONS: H:2 toc:t #+BEAMER_HEADER: \AtBeginSection[]{\begin{frame}<beamer>\vfill\centering\usebeamerfont{title}\insertsectionhead\vfill\end{frame}} #+BEAMER_HEADER: \usepackage{minted} #+BEAMER_HEADER: \usemintedstyle{emacs} #+STARTUP: beamer #+begin_src R :exports none library(tidyverse) set.seed(123) #+end_src * Bayesian Statistics ** Metropolis Algorithm Example \begin{align*} y_i &\sim N(\beta x_i, \sigma^2) \\ \beta &\sim N(\mu, \tau^2) \end{align*} *** XXX :BMCOL: :PROPERTIES: :BEAMER_col: .55 :END: #+begin_src R :exports code :session "*R*" # Simulate some data n <- 100 beta <- 4.1 sigma2 <- 1.3 x <- rnorm(n) y <- rnorm(n, mean=beta*x, sd=sqrt(sigma2)) #+end_src *** XXX :BMCOL: :PROPERTIES: :BEAMER_col: .45 :END: #+begin_src R :exports results :session "*R*" :results graphics file :file figures/foo.pdf plot(x,y) #+end_src #+RESULTS: ** Metropolis Algorithm Example \begin{align*} y_i &\sim N(\beta x_i, \sigma^2) \\ \beta &\sim N(\mu, \tau^2) \end{align*} \tiny #+begin_src R :exports code :session "*R*" # For the moment we deal only with # simple regression (x is univariate) log_p_tilde <- function(beta, y, x, sigma2, mu, tau2){ loglik <- dnorm(beta, mean=mu, sd=sqrt(tau2), log = TRUE) loglik <- loglik + sum(dnorm(y, mean=beta*x, sd=sqrt(sigma2), log=TRUE)) return(loglik) } # Now the proposal function J(theta | theta^(s)) proposal <- function(beta_s, delta2){ return( rnorm(1, mean=beta_s, sd=delta2) ) } #+end_src \normalsize ** Metropolis Algorithm Example *** XXX :BMCOL: :PROPERTIES: :BEAMER_col: .5 :END: \tiny #+begin_src R :exports code :session "*R*" :results silent n_samples <- 4000 beta <- rep(NA, n_samples) # Initialize chain beta[1] <- 0 # Create partial function to make code easier to read lpt <- function(beta) log_p_tilde(beta, y, x, 1.3, # Choose priors mu = 0, tau2 = 1) # Run MCMC for (s in 2:(n_samples+1)){ # Propose beta_prop <- proposal(beta[s-1], delta2 = .1) # Compute Acceptance Ratio (log-scale) r <- lpt(beta_prop) - lpt(beta[s-1]) # Sample uniform u <- runif(1, min=0, max=1) # Accept/Reject if (u <= exp(r)){ beta[s] <- beta_prop } else { beta[s] <- beta[s-1] } } # Drop "Burn-in" rid of initial sample which we chose beta <- beta[-(1:n_samples/2)] #+end_src \normalsize *** XXX :BMCOL: :PROPERTIES: :BEAMER_col: .5 :END: #+begin_src R :exports results :session "*R*" :results graphics file :file figures/beta-posterior-trace.pdf :width 3 :height 3 plot(beta) #+end_src #+begin_src R :exports results :session "*R*" :results graphics file :file figures/beta-posterior-density.pdf :width 3 :height 3 plot(density(beta)) #+end_src I would greatly appreciate any help in debugging this issue!
EDIT: After reading this post Change emacs generated image size in org-mode export, I came up with the following solution (which does not work):
#+name: beta-posterior-trace #+begin_src R :session "*R*" :file figures/beta-posterior-trace.pdf plot(beta) #+end_src #+ATTR_LATEX: :width 0.3\linewidth #+results: beta-posterior-trace [[file:figures/beta-posterior-trace]] #+name: beta-posterior-density #+begin_src R :session "*R*" :file figures/beta-posterior-density.pdf plot(density(beta)) #+end_src #+ATTR_LATEX: :width 0.3\linewidth #+results: beta-posterior-density [[file:figures/beta-posterior-density]] 

:exports resultson the last two source code blocks. Also, the.pdfsuffix is missing from the links. I would just delete the two links completely.