plot_DOPE: Plot a distribution of possible effects.

In christophercschwarz/DOPE: Distributions of Possible Effects

Description

Takes the results of DOPE and plots the distributions with usually good defaults.

Usage

  plot_DOPE(output,vname,xmin=NULL,xmax=NULL,bw=NULL,shade=FALSE,include_naive = TRUE)

Arguments

output	data.frame of simulations, usually from DOPE
vname	character or column index. Which distribution would you like to see?
xmin	numeric. Change the lower bound of plotted distribution.
xmax	numeric. Change the upper bound of plotted distribution.
bw	numeric. Set distribution bin width.
shade	logical. Shade the distribution according to R-squared values?
include_naive	logical. If it exists, indicate the naive regression coefficient?

Value

Returns a ggplot object of the simulated distribution of possible effects with numerical summaries.

Examples

  set.seed(8675309)
  x_vars <- 5
  n_obs <- 1000
  corm <- RandomCormCPP(nvars = x_vars)
  X_mat <- MASS::mvrnorm(n_obs, rep(0,x_vars), Sigma = corm, empirical = TRUE)
  
  betas <- 1:x_vars
  
  y <- X_mat 
  
  dat <- data.frame(y,X_mat)
  
  mod <- lm(y ~ ., data=dat)
  dope <- DOPE(mod, nsims = 3000, n.cores = parallel::detectCores())
  
  plot_DOPE(dope,"V2")

christophercschwarz/DOPE documentation built on April 10, 2020, 4:43 a.m.