add mle methods from carroll

[ml_measurement_error_public.git] / simulations / Makefile

diff --git a/simulations/Makefile b/simulations/Makefile
index 97b589418fa8362ea6987d74ea7b7858b7c5b139..01c34fc2e77e8b0ca3b545bfbaa6cafbe69d6f19 100644 (file)
--- a/simulations/Makefile
+++ b/simulations/Makefile
@@ -17,12 +17,12 @@ example_1.feather: example_1_jobs
        sbatch --wait --verbose --array=3001-6001 run_simulation.sbatch 0 example_1_jobs
 
 example_2_jobs: example_2.R
-       grid_sweep.py --command "Rscript example_2.R" --arg_dict '{"N":${Ns},"m":${ms}, "seed":${seeds}, "outfile":["example_2.feather"]}' --outfile example_2_jobs
+       grid_sweep.py --command "Rscript 02_indep_differential.R" --arg_dict '{"N":${Ns},"m":${ms}, "seed":${seeds}, "outfile":["example_2.feather"]}' --outfile example_2_jobs
 
 example_2.feather: example_2_jobs
        rm -f example_2.feather
        sbatch --wait --verbose --array=1-3000 run_simulation.sbatch 0 example_2_jobs
-#      sbatch --wait --verbose --array=3001-6001 run_simulation.sbatch 0 example_2_jobs
+       sbatch --wait --verbose --array=3001-6001 run_simulation.sbatch 0 example_2_jobs
 
 example_2_B_jobs: example_2_B.R
        grid_sweep.py --command "Rscript example_2_B.R" --arg_dict '{"N":${Ns},"m":${ms}, "seed":${seeds}, "outfile":["example_2_B.feather"]}' --outfile example_2_B_jobs