X-Git-Url: https://code.communitydata.science/ml_measurement_error_public.git/blobdiff_plain/47e9367ed5c61b721bdc17cddd76bced4f8ed621..979dc14b6861ae31f00d56392fd5b8cf69f17333:/simulations/Makefile?ds=inline diff --git a/simulations/Makefile b/simulations/Makefile index d278c8c..44910cb 100644 --- a/simulations/Makefile +++ b/simulations/Makefile @@ -1,12 +1,12 @@ SHELL=bash -Ns=[1000, 2000, 4000, 8000] -ms=[100, 200, 400, 800] -seeds=[$(shell seq -s, 1 100)] +Ns=[1000, 2000, 4000] +ms=[200, 400, 800] +seeds=[$(shell seq -s, 1 250)] explained_variances=[0.1] -all:remembr.RDS +all:remembr.RDS remember_irr.RDS srun=srun -A comdata -p compute-bigmem --time=6:00:00 --mem 4G -c 1 @@ -31,7 +31,7 @@ example_1.feather: example_1_jobs # sbatch --wait --verbose --array=3001-6001 run_simulation.sbatch 0 example_1_jobs example_2_jobs: 02_indep_differential.R simulation_base.R - grid_sweep.py --command "Rscript 02_indep_differential.R" --arg_dict '{"N":${Ns},"m":${ms}, "seed":${seeds}, "outfile":["example_2.feather"],"y_explained_variance":${explained_variances}, "Bzy":[-0.3],"Bxy":[0.3],"Bzx":[0.3], "outcome_formula":["y~x+z"], "proxy_formula":["w_pred~y*z*x"], "truth_formula":["x~z"]}' --outfile example_2_jobs + grid_sweep.py --command "Rscript 02_indep_differential.R" --arg_dict '{"N":${Ns},"m":${ms}, "seed":${seeds}, "outfile":["example_2.feather"],"y_explained_variance":${explained_variances}, "Bzy":[-0.3],"Bxy":[0.3],"Bzx":[0.3], "outcome_formula":["y~x+z"], "proxy_formula":["w_pred~y*z*x"]}' --outfile example_2_jobs example_2.feather: example_2_jobs rm -f example_2.feather @@ -59,6 +59,7 @@ example_4.feather: example_4_jobs rm -f example_4.feather sbatch --wait --verbose --array=1-$(shell cat example_4_jobs | wc -l) run_simulation.sbatch 0 example_4_jobs + remembr.RDS:example_1.feather example_2.feather example_3.feather example_4.feather plot_example.R plot_dv_example.R rm -f remembr.RDS ${srun} Rscript plot_example.R --infile example_1.feather --name "plot.df.example.1" @@ -66,6 +67,32 @@ remembr.RDS:example_1.feather example_2.feather example_3.feather example_4.feat ${srun} Rscript plot_dv_example.R --infile example_3.feather --name "plot.df.example.3" ${srun} Rscript plot_dv_example.R --infile example_4.feather --name "plot.df.example.4" + +irr_Ns = ${Ns} +irr_ms = ${ms} +irr_seeds=${seeds} +irr_explained_variances=${explained_variances} + +example_5_jobs: 05_irr_indep.R irr_simulation_base.R + grid_sweep.py --command "Rscript 05_irr_indep.R" --arg_dict '{"N":${irr_Ns},"m":${irr_ms}, "seed":${irr_seeds}, "outfile":["example_5.feather"], "y_explained_variance":${irr_explained_variances}}' --outfile example_5_jobs + +example_5.feather:example_5_jobs + rm -f example_5.feather + sbatch --wait --verbose --array=1-$(shell cat example_5_jobs | wc -l) run_simulation.sbatch 0 example_5_jobs + + +example_6_jobs: 06_irr_dv.R irr_dv_simulation_base.R + grid_sweep.py --command "Rscript 06_irr_dv.R" --arg_dict '{"N":${irr_Ns},"m":${irr_ms}, "seed":${irr_seeds}, "outfile":["example_6.feather"], "y_explained_variance":${irr_explained_variances}}' --outfile example_6_jobs + +example_6.feather:example_6_jobs + rm -f example_6.feather + sbatch --wait --verbose --array=1-$(shell cat example_6_jobs | wc -l) run_simulation.sbatch 0 example_6_jobs + +remember_irr.RDS: example_5.feather example_6.feather plot_irr_example.R plot_irr_dv_example.R + rm -f remember_irr.RDS + ${srun} Rscript plot_irr_example.R --infile example_5.feather --name "plot.df.example.5" + ${srun} Rscript plot_irr_dv_example.R --infile example_6.feather --name "plot.df.example.6" + clean: rm *.feather rm -f remembr.RDS