SHELL=bash
-Ns=[1000, 2000, 4000]
-ms=[100, 200, 400, 800]
-seeds=[$(shell seq -s, 1 250)]
+Ns=[1000, 5000, 10000]
+ms=[100, 200, 400]
+seeds=[$(shell seq -s, 1 500)]
explained_variances=[0.1]
all:remembr.RDS remember_irr.RDS
# sbatch --wait --verbose --array=3001-6001 run_simulation.sbatch 0 test_true_z_jobs
-example_1_jobs: 01_two_covariates.R simulation_base.R grid_sweep.py
- sbatch --wait --verbose run_job.sbatch grid_sweep.py --command "Rscript 01_two_covariates.R" --arg_dict '{"N":${Ns},"m":${ms}, "seed":${seeds}, "outfile":["example_1.feather"], "y_explained_variance":${explained_variances}, "Bzx":[0.3]}' --outfile example_1_jobs
+example_1_jobs: 01_two_covariates.R simulation_base.R grid_sweep.py pl_methods.R
+ sbatch --wait --verbose run_job.sbatch grid_sweep.py --command "Rscript 01_two_covariates.R" --arg_dict '{"N":${Ns},"m":${ms}, "seed":${seeds}, "outfile":["example_1.feather"], "y_explained_variance":${explained_variances}, "Bzx":[1]}' --outfile example_1_jobs
example_1.feather: example_1_jobs
rm -f example_1.feather
- sbatch --wait --verbose --array=1-$(shell cat example_1_jobs | wc -l) run_simulation.sbatch 0 example_1_jobs
-# sbatch --wait --verbose --array=3001-6001 run_simulation.sbatch 0 example_1_jobs
+ sbatch --wait --verbose --array=1-1000 run_simulation.sbatch 0 example_1_jobs
+ sbatch --wait --verbose --array=1001-2000 run_simulation.sbatch 0 example_1_jobs
+ sbatch --wait --verbose --array=2001-3000 run_simulation.sbatch 0 example_1_jobs
+ sbatch --wait --verbose --array=3001-4000 run_simulation.sbatch 0 example_1_jobs
+ sbatch --wait --verbose --array=4001-$(shell cat example_1_jobs | wc -l) run_simulation.sbatch 0 example_1_jobs
-example_2_jobs: 02_indep_differential.R simulation_base.R grid_sweep.py
- sbatch --wait --verbose run_job.sbatch 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_jobs: 02_indep_differential.R simulation_base.R grid_sweep.py pl_methods.R
+ sbatch --wait --verbose run_job.sbatch 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":[1], "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
- sbatch --wait --verbose --array=1-$(shell cat example_1_jobs | wc -l) run_simulation.sbatch 0 example_2_jobs
-# sbatch --wait --verbose --array=3001-6001 run_simulation.sbatch 0 example_2_jobs
+ sbatch --wait --verbose --array=1-1000 run_simulation.sbatch 0 example_2_jobs
+ sbatch --wait --verbose --array=1001-2000 run_simulation.sbatch 0 example_2_jobs
+ sbatch --wait --verbose --array=2001-3000 run_simulation.sbatch 0 example_2_jobs
+ sbatch --wait --verbose --array=3001-4000 run_simulation.sbatch 0 example_2_jobs
+ sbatch --wait --verbose --array=4001-$(shell cat example_2_jobs | wc -l) run_simulation.sbatch 0 example_2_jobs
+
# example_2_B_jobs: example_2_B.R
# sbatch --wait --verbose run_job.sbatch grid_sweep.py --command "Rscript example_2_B.R" --arg_dict '{"N":${Ns},"m":${ms}, "seed":${seeds}, "outfile":["example_2_B.feather"]}' --outfile example_2_B_jobs
# rm -f example_2_B.feather
# sbatch --wait --verbose --array=1-3000 run_simulation.sbatch 0 example_2_B_jobs
-example_3_jobs: 03_depvar.R simulation_base.R grid_sweep.py
- sbatch --wait --verbose run_job.sbatch grid_sweep.py --command "Rscript 03_depvar.R" --arg_dict '{"N":${Ns},"m":${ms}, "Bxy":[0.01],"Bzy":[-0.01],"seed":${seeds}, "outfile":["example_3.feather"], "y_explained_variance":${explained_variances}}' --outfile example_3_jobs
+example_3_jobs: 03_depvar.R simulation_base.R grid_sweep.py pl_methods.R
+ sbatch --wait --verbose run_job.sbatch grid_sweep.py --command "Rscript 03_depvar.R" --arg_dict '{"N":${Ns},"m":${ms}, "Bxy":[0.7],"Bzy":[-0.7],"seed":${seeds}, "outfile":["example_3.feather"], "y_explained_variance":${explained_variances}}' --outfile example_3_jobs
example_3.feather: example_3_jobs
rm -f example_3.feather
- sbatch --wait --verbose --array=1-$(shell cat example_3_jobs | wc -l) run_simulation.sbatch 0 example_3_jobs
+ sbatch --wait --verbose --array=1-1000 run_simulation.sbatch 0 example_3_jobs
+ sbatch --wait --verbose --array=1001-2000 run_simulation.sbatch 0 example_3_jobs
+ sbatch --wait --verbose --array=2001-3000 run_simulation.sbatch 0 example_3_jobs
+ sbatch --wait --verbose --array=3001-4000 run_simulation.sbatch 0 example_3_jobs
+ sbatch --wait --verbose --array=4001-$(shell cat example_3_jobs | wc -l) run_simulation.sbatch 0 example_3_jobs
-example_4_jobs: 04_depvar_differential.R simulation_base.R grid_sweep.py
- sbatch --wait --verbose run_job.sbatch grid_sweep.py --command "Rscript 04_depvar_differential.R" --arg_dict '{"N":${Ns},"Bxy":[0.01],"Bzy":[-0.01],"m":${ms}, "seed":${seeds}, "outfile":["example_4.feather"], "y_explained_variance":${explained_variances}}' --outfile example_4_jobs
+example_4_jobs: 04_depvar_differential.R simulation_base.R grid_sweep.py pl_methods.R
+ sbatch --wait --verbose run_job.sbatch grid_sweep.py --command "Rscript 04_depvar_differential.R" --arg_dict '{"N":${Ns},"Bxy":[0.7],"Bzy":[-0.7],"m":${ms}, "seed":${seeds}, "outfile":["example_4.feather"], "z_bias":[0.5]}' --outfile example_4_jobs
example_4.feather: example_4_jobs
rm -f example_4.feather
- sbatch --wait --verbose --array=1-$(shell cat example_4_jobs | wc -l) run_simulation.sbatch 0 example_4_jobs
+ sbatch --wait --verbose --array=1-1000 run_simulation.sbatch 0 example_4_jobs
+ sbatch --wait --verbose --array=1001-2000 run_simulation.sbatch 0 example_4_jobs
+ sbatch --wait --verbose --array=2001-3000 run_simulation.sbatch 0 example_4_jobs
+ sbatch --wait --verbose --array=3001-4000 run_simulation.sbatch 0 example_4_jobs
+ sbatch --wait --verbose --array=4001-$(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 summarize_estimator.R
${srun} Rscript plot_dv_example.R --infile example_4.feather --name "plot.df.example.4"
-irr_Ns = ${Ns}
-irr_ms = ${ms}
+irr_Ns = [1000]
+irr_ms = [150,300,600]
irr_seeds=${seeds}
irr_explained_variances=${explained_variances}
+irr_coder_accuracy=[0.80]
-example_5_jobs: 05_irr_indep.R irr_simulation_base.R grid_sweep.py
- sbatch --wait --verbose run_job.sbatch grid_sweep.py --command "Rscript 05_irr_indep.R" --arg_dict '{"N":${irr_Ns},"m":${irr_ms}, "seed":${irr_seeds}, "outfile":["example_5.feather"], "y_explained_variance":${irr_explained_variances}}' --outfile example_5_jobs
+example_5_jobs: 05_irr_indep.R irr_simulation_base.R grid_sweep.py pl_methods.R measerr_methods.R
+ sbatch --wait --verbose run_job.sbatch grid_sweep.py --command "Rscript 05_irr_indep.R" --arg_dict '{"N":${irr_Ns},"m":${irr_ms}, "seed":${irr_seeds}, "outfile":["example_5.feather"], "y_explained_variance":${irr_explained_variances}, "coder_accuracy":${irr_coder_accuracy}}' --outfile example_5_jobs
example_5.feather:example_5_jobs
rm -f example_5.feather
- sbatch --wait --verbose --array=1-$(shell cat example_5_jobs | wc -l) run_simulation.sbatch 0 example_5_jobs
+ sbatch --wait --verbose --array=1-1000 run_simulation.sbatch 0 example_5_jobs
+ sbatch --wait --verbose --array=1001-$(shell cat example_5_jobs | wc -l) run_simulation.sbatch 1000 example_5_jobs
+ # sbatch --wait --verbose --array=2001-3000 run_simulation.sbatch 2000 example_5_jobs
+ # sbatch --wait --verbose --array=3001-4000 run_simulation.sbatch 3000 example_5_jobs
+ # sbatch --wait --verbose --array=2001-$(shell cat example_5_jobs | wc -l) run_simulation.sbatch 4000 example_5_jobs
+
-example_6_jobs: 06_irr_dv.R irr_dv_simulation_base.R grid_sweep.py
- sbatch --wait --verbose run_job.sbatch grid_sweep.py --command "Rscript 06_irr_dv.R" --arg_dict '{"N":${irr_Ns},"m":${irr_ms}, "seed":${irr_seeds}, "outfile":["example_6.feather"], "y_explained_variance":${irr_explained_variances}}' --outfile example_6_jobs
+# example_6_jobs: 06_irr_dv.R irr_dv_simulation_base.R grid_sweep.py pl_methods.R
+# sbatch --wait --verbose run_job.sbatch grid_sweep.py --command "Rscript 06_irr_dv.R" --arg_dict '{"N":${irr_Ns},"m":${irr_ms}, "seed":${irr_seeds}, "outfile":["example_6.feather"], "y_explained_variance":${irr_explained_variances},"coder_accuracy":${irr_coder_accuracy}}' --outfile example_6_jobs
-example_6.feather:example_6_jobs
- rm -f example_6.feather
- sbatch --wait --verbose --array=1-$(shell cat example_6_jobs | wc -l) run_simulation.sbatch 0 example_6_jobs
+# example_6.feather:example_6_jobs
+# rm -f example_6.feather
+# sbatch --wait --verbose --array=1-1000 run_simulation.sbatch 0 example_6_jobs
+# sbatch --wait --verbose --array=1001-2000 run_simulation.sbatch 1000 example_6_jobs
+# sbatch --wait --verbose --array=2001-$(shell cat example_6_jobs | wc -l) run_simulation.sbatch 2000 example_6_jobs
-remember_irr.RDS: example_5.feather example_6.feather plot_irr_example.R plot_irr_dv_example.R summarize_estimator.R
+
+remember_irr.RDS: example_5.feather plot_irr_example.R plot_irr_dv_example.R summarize_estimator.R
rm -f remember_irr.RDS
sbatch --wait --verbose run_job.sbatch Rscript plot_irr_example.R --infile example_5.feather --name "plot.df.example.5"
- sbatch --wait --verbose run_job.sbatch Rscript plot_irr_dv_example.R --infile example_6.feather --name "plot.df.example.6"
-
+# sbatch --wait --verbose run_job.sbatch Rscript plot_irr_dv_example.R --infile example_6.feather --name "plot.df.example.6"
robustness_1_jobs: 02_indep_differential.R simulation_base.R grid_sweep.py
sbatch --wait --verbose run_job.sbatch grid_sweep.py --command "Rscript 02_indep_differential.R" --arg_dict '{"N":${Ns},"m":${ms}, "seed":${seeds}, "outfile":["robustness_1.feather"],"y_explained_variance":${explained_variances}, "Bzy":[-0.3],"Bxy":[0.3],"Bzx":[0.3], "outcome_formula":["y~x+z"], "proxy_formula":["w_pred~y+x"], "truth_formula":["x~1"]}' --outfile robustness_1_jobs
-
robustness_1.feather: robustness_1_jobs
rm -f robustness_1.feather
- sbatch --wait --verbose --array=1-$(shell cat robustness_1_jobs | wc -l) run_simulation.sbatch 0 robustness_1_jobs
+ sbatch --wait --verbose --array=1-1000 run_simulation.sbatch 0 robustness_1_jobs
+ sbatch --wait --verbose --array=1001-2000 run_simulation.sbatch 0 robustness_1_jobs
+ sbatch --wait --verbose --array=2001-3000 run_simulation.sbatch 0 robustness_1_jobs
+ sbatch --wait --verbose --array=3001-4000 run_simulation.sbatch 0 robustness_1_jobs
+ sbatch --wait --verbose --array=4001-$(shell cat robustness_1_jobs | wc -l) run_simulation.sbatch 0 robustness_1_jobs
+
+robustness_1.RDS: robustness_1.feather
+ rm -f robustness_1.RDS
+ ${srun} Rscript plot_example.R --infile $< --name "robustness_1" --remember-file $@
robustness_1_dv_jobs: simulation_base.R 04_depvar_differential.R grid_sweep.py
${srun} bash -c "source ~/.bashrc && grid_sweep.py --command 'Rscript 04_depvar_differential.R' --arg_dict \"{'N':${Ns},'m':${ms}, 'seed':${seeds}, 'outfile':['robustness_1_dv.feather'], 'y_explained_variance':${explained_variances}, 'proxy_formula':['w_pred~y']}\" --outfile robustness_1_dv_jobs"
sbatch --wait --verbose --array=1-$(shell cat example_3_jobs | wc -l) run_simulation.sbatch 0 robustness_1_dv_jobs
-remember_robustness_misspec.RDS: robustness_1.feather robustness_1_dv.feather
- rm -f remember_robustness_misspec.RDS
- sbatch --wait --verbose run_job.sbatch Rscript plot_example.R --infile robustness_1.feather --name "plot.df.robustness.1" --remember-file "remember_robustness_misspec.RDS"
- sbatch --wait --verbose run_job.sbatch Rscript plot_dv_example.R --infile robustness_1_dv.feather --name "plot.df.robustness.1.dv" --remember-file "remember_robustness_mispec.RDS"
+robustness_1_dv.RDS: robustness_1_dv.feather
+ rm -f $@
+ ${srun} Rscript plot_dv_example.R --infile $< --name "robustness_1_dv" --outfile $@
+
+
+robustness_2_jobs: grid_sweep.py 01_two_covariates.R simulation_base.R grid_sweep.py
+ rm -f $@
+ ${srun} $< --command 'Rscript 01_two_covariates.R' --arg_dict '{"N":${Ns},"m":${ms}, "seed":${seeds}, "outfile":["robustness_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+x"], "truth_formula":["x~z"], "prediction_accuracy":[0.6,0.73,0.8,0.85,0.9,0.95]}' --outfile $@
+
+
+
+START=1
+END=$(shell cat robustness_2_jobs | wc -l)
+STEP=1000
+ITEMS=$(shell seq $(START) $(STEP) $(END))
+robustness_2.feather: robustness_2_jobs
+ $(foreach item,$(ITEMS),sbatch --wait --verbose --array=$(shell expr $(item))-$(shell expr $(item) + $(STEP)) run_simulation.sbatch 0 $<)
+#
clean:
rm *.feather
rm -f remembr.RDS
projects / ml_measurement_error_public.git / blobdiff