check in some old simulation updates and a dv examples with real data
This commit is contained in:
@@ -1,4 +1,4 @@
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.ONESHELL:
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SHELL=bash
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Ns=[1000, 5000, 10000]
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@@ -6,8 +6,9 @@ ms=[100, 200, 400]
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seeds=[$(shell seq -s, 1 500)]
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explained_variances=[0.1]
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all:remembr.RDS remember_irr.RDS
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supplement: remember_robustness_misspec.RDS
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all:main supplement
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main:remembr.RDS
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supplement:robustness_1.RDS robustness_1_dv.RDS robustness_2.RDS robustness_2_dv.RDS robustness_3.RDS robustness_3_dv.RDS robustness_4.RDS robustness_4_dv.RDS
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srun=sbatch --wait --verbose run_job.sbatch
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@@ -24,7 +25,7 @@ joblists:example_1_jobs example_2_jobs example_3_jobs
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example_1_jobs: 01_two_covariates.R simulation_base.R grid_sweep.py pl_methods.R
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sbatch --wait --verbose run_job.sbatch grid_sweep.py --command "Rscript 01_two_covariates.R" --arg_dict '{"N":${Ns},"m":${ms}, "seed":${seeds}, "outfile":["example_1.feather"], "y_explained_variance":${explained_variances}, "Bzx":[1]}' --outfile example_1_jobs
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${srun} 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
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example_1.feather: example_1_jobs
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rm -f example_1.feather
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@@ -124,7 +125,14 @@ robustness_1_jobs: 02_indep_differential.R simulation_base.R grid_sweep.py
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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
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START=0
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STEP=1000
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ONE=1
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robustness_1.feather: robustness_1_jobs
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$(eval END_1!=cat robustness_1_jobs | wc -l)
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$(eval ITEMS_1!=seq $(START) $(STEP) $(END_1))
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rm -f robustness_1.feather
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sbatch --wait --verbose --array=1-1000 run_simulation.sbatch 0 robustness_1_jobs
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sbatch --wait --verbose --array=1001-2000 run_simulation.sbatch 0 robustness_1_jobs
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@@ -132,22 +140,25 @@ robustness_1.feather: robustness_1_jobs
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sbatch --wait --verbose --array=3001-4000 run_simulation.sbatch 0 robustness_1_jobs
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sbatch --wait --verbose --array=4001-$(shell cat robustness_1_jobs | wc -l) run_simulation.sbatch 0 robustness_1_jobs
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$(foreach item,$(ITEMS_1),sbatch --wait --verbose --array=$(shell expr $(item) + $(ONE))-$(shell expr $(item) + $(STEP)) run_simulation.sbatch 0 robustness_1_jobs;)
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robustness_1.RDS: robustness_1.feather
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rm -f robustness_1.RDS
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${srun} Rscript plot_example.R --infile $< --name "robustness_1" --remember-file $@
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robustness_1_dv_jobs: simulation_base.R 04_depvar_differential.R grid_sweep.py
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${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"
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${srun} grid_sweep.py --command 'Rscript 04_depvar_differential.R' --arg_dict '{"N":${Ns},"Bxy":[0.7],"Bzy":[-0.7],"m":${ms}, "seed":${seeds}, "outfile":["robustness_1_dv.feather"], "proxy_formula":["w_pred~y"],"z_bias":[0.5]}' --outfile robustness_1_dv_jobs
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robustness_1_dv.feather: robustness_1_dv_jobs
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rm -f robustness_1_dv.feather
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sbatch --wait --verbose --array=1-$(shell cat example_3_jobs | wc -l) run_simulation.sbatch 0 robustness_1_dv_jobs
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$(eval END_1!=cat robustness_1_dv_jobs | wc -l)
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$(eval ITEMS_1!=seq $(START) $(STEP) $(END_1))
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$(foreach item,$(ITEMS_1),sbatch --wait --verbose --array=$(shell expr $(item) + $(ONE))-$(shell expr $(item) + $(STEP)) run_simulation.sbatch 0 robustness_1_dv_jobs;)
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robustness_1_dv.RDS: robustness_1_dv.feather
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rm -f $@
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${srun} Rscript plot_dv_example.R --infile $< --name "robustness_1_dv" --outfile $@
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${srun} Rscript plot_dv_example.R --infile $< --name "robustness_1_dv" --remember-file $@
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robustness_2_jobs_p1: grid_sweep.py 01_two_covariates.R simulation_base.R grid_sweep.py
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@@ -166,59 +177,59 @@ robustness_2_jobs_p4: grid_sweep.py 01_two_covariates.R simulation_base.R grid_s
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rm -f $@
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${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":[0.90,0.95]}' --outfile $@
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START=0
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END_1=$(shell cat robustness_2_jobs_p1 | wc -l)
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END_2=$(shell cat robustness_2_jobs_p2 | wc -l)
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END_3=$(shell cat robustness_2_jobs_p3 | wc -l)
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END_4=$(shell cat robustness_2_jobs_p4 | wc -l)
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STEP=1000
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ONE=1
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ITEMS_1=$(shell seq $(START) $(STEP) $(END_1))
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ITEMS_2=$(shell seq $(START) $(STEP) $(END_2))
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ITEMS_3=$(shell seq $(START) $(STEP) $(END_3))
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ITEMS_4=$(shell seq $(START) $(STEP) $(END_4))
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robustness_2.feather: robustness_2_jobs_p1 robustness_2_jobs_p2 robustness_2_jobs_p3 robustness_2_jobs_p4
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$(foreach item,$(ITEMS_1),sbatch --wait --verbose --array=$(shell expr $(item) + $(ONE))-$(shell expr $(item) + $(STEP)) run_simulation.sbatch 0 robustness_2_jobs_p1)
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$(eval END_1!=cat robustness_2_jobs_p1 | wc -l)
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$(eval ITEMS_1!=seq $(START) $(STEP) $(END_1))
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$(eval END_2!=cat robustness_2_jobs_p2 | wc -l)
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$(eval ITEMS_2!=seq $(START) $(STEP) $(END_2))
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$(eval END_3!=cat robustness_2_jobs_p3 | wc -l)
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$(eval ITEMS_3!=seq $(START) $(STEP) $(END_3))
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$(eval END_4!=cat robustness_2_jobs_p4 | wc -l)
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$(eval ITEMS_4!=seq $(START) $(STEP) $(END_4))
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$(foreach item,$(ITEMS_1),sbatch --wait --verbose --array=$(shell expr $(item) + $(ONE))-$(shell expr $(item) + $(STEP)) run_simulation.sbatch 0 robustness_2_jobs_p1;)
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$(foreach item,$(ITEMS_2),sbatch --wait --verbose --array=$(shell expr $(item) + $(ONE))-$(shell expr $(item) + $(STEP)) run_simulation.sbatch 0 robustness_2_jobs_p2;)
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$(foreach item,$(ITEMS_3),sbatch --wait --verbose --array=$(shell expr $(item) + $(ONE))-$(shell expr $(item) + $(STEP)) run_simulation.sbatch 0 robustness_2_jobs_p3;)
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$(foreach item,$(ITEMS_4),sbatch --wait --verbose --array=$(shell expr $(item) + $(ONE))-$(shell expr $(item) + $(STEP)) run_simulation.sbatch 0 robustness_2_jobs_p4;)
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robustness_2.RDS: plot_example.R robustness_2.feather
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rm -f $@
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${srun} Rscript $< --infile $(word 2, $^) --name "robustness_2" --remember-file $@
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robustness_2_dv_jobs_p1: grid_sweep.py 03_depvar.R simulation_base.R grid_sweep.py
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rm -f $@
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${srun} $< --command 'Rscript 03_depvar.R' --arg_dict '{"N":${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"], "prediction_accuracy":[0.60,0.65]}' --outfile $@
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${srun} $< --command 'Rscript 03_depvar.R' --arg_dict '{"N":${Ns},"m":${ms}, "seed":${seeds}, "outfile":["robustness_2_dv.feather"],"y_explained_variance":${explained_variances}, "Bzy":[-0.3],"Bxy":[0.3],"Bzx":[0.3], "outcome_formula":["y~x+z"], "prediction_accuracy":[0.60,0.65]}' --outfile $@
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robustness_2_dv_jobs_p2: grid_sweep.py 03_depvar.R simulation_base.R grid_sweep.py
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rm -f $@
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${srun} $< --command 'Rscript 03_depvar.R' --arg_dict '{"N":${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"], "prediction_accuracy":[0.70,0.75]}' --outfile $@
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${srun} $< --command 'Rscript 03_depvar.R' --arg_dict '{"N":${Ns},"m":${ms}, "seed":${seeds}, "outfile":["robustness_2_dv.feather"],"y_explained_variance":${explained_variances}, "Bzy":[-0.3],"Bxy":[0.3],"Bzx":[0.3], "outcome_formula":["y~x+z"], "prediction_accuracy":[0.70,0.75]}' --outfile $@
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robustness_2_dv_jobs_p3: grid_sweep.py 03_depvar.R simulation_base.R grid_sweep.py
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rm -f $@
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${srun} $< --command 'Rscript 03_depvar.R' --arg_dict '{"N":${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"], "prediction_accuracy":[0.80,0.85]}' --outfile $@
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${srun} $< --command 'Rscript 03_depvar.R' --arg_dict '{"N":${Ns},"m":${ms}, "seed":${seeds}, "outfile":["robustness_2_dv.feather"],"y_explained_variance":${explained_variances}, "Bzy":[-0.3],"Bxy":[0.3],"Bzx":[0.3], "outcome_formula":["y~x+z"], "prediction_accuracy":[0.80,0.85]}' --outfile $@
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robustness_2_dv_jobs_p4: grid_sweep.py 03_depvar.R simulation_base.R grid_sweep.py
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rm -f $@
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${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"], "prediction_accuracy":[0.90,0.95]}' --outfile $@
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START=0
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END_1=$(shell cat robustness_2_dv_jobs_p1 | wc -l)
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END_2=$(shell cat robustness_2_dv_jobs_p2 | wc -l)
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END_3=$(shell cat robustness_2_dv_jobs_p3 | wc -l)
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END_4=$(shell cat robustness_2_dv_jobs_p4 | wc -l)
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STEP=1000
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ONE=1
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ITEMS_1=$(shell seq $(START) $(STEP) $(END_1))
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ITEMS_2=$(shell seq $(START) $(STEP) $(END_2))
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ITEMS_3=$(shell seq $(START) $(STEP) $(END_3))
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ITEMS_4=$(shell seq $(START) $(STEP) $(END_4))
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${srun} $< --command 'Rscript 01_two_covariates.R' --arg_dict '{"N":${Ns},"m":${ms}, "seed":${seeds}, "outfile":["robustness_2_dv.feather"],"y_explained_variance":${explained_variances}, "Bzy":[-0.3],"Bxy":[0.3],"Bzx":[0.3], "outcome_formula":["y~x+z"], "prediction_accuracy":[0.90,0.95]}' --outfile $@
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robustness_2_dv.feather: robustness_2_dv_jobs_p1 robustness_2_dv_jobs_p2 robustness_2_dv_jobs_p3 robustness_2_dv_jobs_p4
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$(foreach item,$(ITEMS_1),sbatch --wait --verbose --array=$(shell expr $(item) + $(ONE))-$(shell expr $(item) + $(STEP)) run_simulation.sbatch 0 robustness_2_dv_jobs_p1)
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$(eval END_1!=cat robustness_2_dv_jobs_p1 | wc -l)
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$(eval ITEMS_1!=seq $(START) $(STEP) $(END_1))
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$(eval END_2!=cat robustness_2_dv_jobs_p2 | wc -l)
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$(eval ITEMS_2!=seq $(START) $(STEP) $(END_2))
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$(eval END_3!=cat robustness_2_dv_jobs_p3 | wc -l)
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$(eval ITEMS_3!=seq $(START) $(STEP) $(END_3))
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$(eval END_4!=cat robustness_2_dv_jobs_p4 | wc -l)
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$(eval ITEMS_4!=seq $(START) $(STEP) $(END_4))
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$(foreach item,$(ITEMS_1),sbatch --wait --verbose --array=$(shell expr $(item) + $(ONE))-$(shell expr $(item) + $(STEP)) run_simulation.sbatch 0 robustness_2_dv_jobs_p1;)
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$(foreach item,$(ITEMS_2),sbatch --wait --verbose --array=$(shell expr $(item) + $(ONE))-$(shell expr $(item) + $(STEP)) run_simulation.sbatch 0 robustness_2_dv_jobs_p2;)
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$(foreach item,$(ITEMS_3),sbatch --wait --verbose --array=$(shell expr $(item) + $(ONE))-$(shell expr $(item) + $(STEP)) run_simulation.sbatch 0 robustness_2_dv_jobs_p3;)
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$(foreach item,$(ITEMS_4),sbatch --wait --verbose --array=$(shell expr $(item) + $(ONE))-$(shell expr $(item) + $(STEP)) run_simulation.sbatch 0 robustness_2_dv_jobs_p4;)
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robustness_2_dv.RDS: plot_example.R robustness_2_dv.feather
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rm -f $@
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${srun} Rscript $< --infile $(word 2, $^) --name "robustness_2_dv" --remember-file $@
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robustness_3_jobs_p1: grid_sweep.py 01_two_covariates.R simulation_base.R grid_sweep.py
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@@ -233,125 +244,131 @@ robustness_3_jobs_p3: grid_sweep.py 01_two_covariates.R simulation_base.R grid_s
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rm -f $@
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${srun} $< --command 'Rscript 01_two_covariates.R' --arg_dict '{"N":${Ns},"m":${ms}, "seed":${seeds}, "outfile":["robustness_3.feather"],"y_explained_variance":${explained_variances}, "Bzy":[-0.3],"Bxy":[0.3],"Bzx":[0.3],"Px":[0.9,0.95], "outcome_formula":["y~x+z"], "proxy_formula":["w_pred~y+x"], "truth_formula":["x~z"], "prediction_accuracy":[0.85]}' --outfile $@
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START=0
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END_1=$(shell cat robustness_3_jobs_p1 | wc -l)
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END_2=$(shell cat robustness_3_jobs_p2 | wc -l)
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END_3=$(shell cat robustness_3_jobs_p3 | wc -l)
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STEP=1000
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ONE=1
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ITEMS_1=$(shell seq $(START) $(STEP) $(END_1))
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ITEMS_2=$(shell seq $(START) $(STEP) $(END_2))
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ITEMS_3=$(shell seq $(START) $(STEP) $(END_3))
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robustness_3.feather: robustness_3_jobs_p1 robustness_3_jobs_p2 robustness_3_jobs_p3
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$(foreach item,$(ITEMS_1),sbatch --wait --verbose --array=$(shell expr $(item) + $(ONE))-$(shell expr $(item) + $(STEP)) run_simulation.sbatch 0 robustness_3_jobs_p1)
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$(eval END_1!=cat robustness_3_jobs_p1 | wc -l)
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$(eval ITEMS_1!=seq $(START) $(STEP) $(END_1))
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$(eval END_2!=cat robustness_3_jobs_p2 | wc -l)
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$(eval ITEMS_2!=seq $(START) $(STEP) $(END_2))
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$(eval END_3!=cat robustness_3_jobs_p3 | wc -l)
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$(eval ITEMS_3!=seq $(START) $(STEP) $(END_3))
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$(foreach item,$(ITEMS_1),sbatch --wait --verbose --array=$(shell expr $(item) + $(ONE))-$(shell expr $(item) + $(STEP)) run_simulation.sbatch 0 robustness_3_jobs_p1;)
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$(foreach item,$(ITEMS_2),sbatch --wait --verbose --array=$(shell expr $(item) + $(ONE))-$(shell expr $(item) + $(STEP)) run_simulation.sbatch 0 robustness_3_jobs_p2;)
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$(foreach item,$(ITEMS_3),sbatch --wait --verbose --array=$(shell expr $(item) + $(ONE))-$(shell expr $(item) + $(STEP)) run_simulation.sbatch 0 robustness_3_jobs_p3;)
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robustness_3.RDS: plot_example.R robustness_3.feather
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rm -f $@
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${srun} Rscript $< --infile $(word 2, $^) --name "robustness_3" --remember-file $@
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robustness_3_dv_jobs_p1: grid_sweep.py 03_depvar.R simulation_base.R grid_sweep.py
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rm -f $@
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${srun} $< --command 'Rscript 03_depvar.R' --arg_dict '{"N":${Ns},"m":${ms}, "seed":${seeds}, "outfile":["robustness_3.feather"],"y_explained_variance":${explained_variances}, "Bzy":[-0.3],"Bxy":[0.3],"Bzx":[0.3],"B0":[0.5,0.6], "outcome_formula":["y~x+z"], "prediction_accuracy":[0.85]}' --outfile $@
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${srun} $< --command 'Rscript 03_depvar.R' --arg_dict '{"N":${Ns},"m":${ms}, "seed":${seeds}, "outfile":["robustness_3_dv.feather"],"y_explained_variance":${explained_variances}, "Bzy":[-0.3],"Bxy":[0.3],"Bzx":[0.3],"B0":[0.5,0.6], "outcome_formula":["y~x+z"], "prediction_accuracy":[0.85]}' --outfile $@
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robustness_3_dv_jobs_p2: grid_sweep.py 03_depvar.R simulation_base.R grid_sweep.py
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rm -f $@
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${srun} $< --command 'Rscript 03_depvar.R' --arg_dict '{"N":${Ns},"m":${ms}, "seed":${seeds}, "outfile":["robustness_3.feather"],"y_explained_variance":${explained_variances}, "Bzy":[-0.3],"Bxy":[0.3],"Bzx":[0.3],"B0":[0.7,0.8], "outcome_formula":["y~x+z"], "prediction_accuracy":[0.85]}' --outfile $@
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${srun} $< --command 'Rscript 03_depvar.R' --arg_dict '{"N":${Ns},"m":${ms}, "seed":${seeds}, "outfile":["robustness_3_dv.feather"],"y_explained_variance":${explained_variances}, "Bzy":[-0.3],"Bxy":[0.3],"Bzx":[0.3],"B0":[0.7,0.8], "outcome_formula":["y~x+z"], "prediction_accuracy":[0.85]}' --outfile $@
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robustness_3_dv_jobs_p3: grid_sweep.py 03_depvar.R simulation_base.R grid_sweep.py
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rm -f $@
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${srun} $< --command 'Rscript 03_depvar.R' --arg_dict '{"N":${Ns},"m":${ms}, "seed":${seeds}, "outfile":["robustness_3.feather"],"y_explained_variance":${explained_variances}, "Bzy":[-0.3],"Bxy":[0.3],"Bzx":[0.3], "B0":[0.9,0.95], "outcome_formula":["y~x+z"], "prediction_accuracy":[0.85]}' --outfile $@
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START=0
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END_1=$(shell cat robustness_3_dv_jobs_p1 | wc -l)
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END_2=$(shell cat robustness_3_dv_jobs_p2 | wc -l)
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END_3=$(shell cat robustness_3_dv_jobs_p3 | wc -l)
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STEP=1000
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ONE=1
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ITEMS_1=$(shell seq $(START) $(STEP) $(END_1))
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ITEMS_2=$(shell seq $(START) $(STEP) $(END_2))
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ITEMS_3=$(shell seq $(START) $(STEP) $(END_3))
|
||||
${srun} $< --command 'Rscript 03_depvar.R' --arg_dict '{"N":${Ns},"m":${ms}, "seed":${seeds}, "outfile":["robustness_3_dv.feather"],"y_explained_variance":${explained_variances}, "Bzy":[-0.3],"Bxy":[0.3],"Bzx":[0.3], "B0":[0.9,0.95], "outcome_formula":["y~x+z"], "prediction_accuracy":[0.85]}' --outfile $@
|
||||
|
||||
robustness_3_dv.feather: robustness_3_dv_jobs_p1 robustness_3_dv_jobs_p2 robustness_3_dv_jobs_p3
|
||||
$(foreach item,$(ITEMS_1),sbatch --wait --verbose --array=$(shell expr $(item) + $(ONE))-$(shell expr $(item) + $(STEP)) run_simulation.sbatch 0 robustness_3_dv_jobs_p1)
|
||||
$(foreach item,$(ITEMS_2),sbatch --wait --verbose --array=$(shell expr $(item) + $(ONE))-$(shell expr $(item) + $(STEP)) run_simulation.sbatch 0 robustness_3_dv_jobs_p2;)
|
||||
$(foreach item,$(ITEMS_3),sbatch --wait --verbose --array=$(shell expr $(item) + $(ONE))-$(shell expr $(item) + $(STEP)) run_simulation.sbatch 0 robustness_3_dv_jobs_p3;)
|
||||
$(eval END_1!=cat robustness_3_dv_jobs_p1 | wc -l)
|
||||
$(eval ITEMS_1!=seq $(START) $(STEP) $(END_1))
|
||||
$(eval END_2!=cat robustness_3_dv_jobs_p2 | wc -l)
|
||||
$(eval ITEMS_2!=seq $(START) $(STEP) $(END_2))
|
||||
$(eval END_3!=cat robustness_3_dv_jobs_p3 | wc -l)
|
||||
$(eval ITEMS_3!=seq $(START) $(STEP) $(END_3))
|
||||
|
||||
$(foreach item,$(ITEMS_1),sbatch --wait --verbose --array=$(shell expr $(item) + $(ONE))-$(shell expr $(item) + $(STEP)) run_simulation.sbatch 0 robustness_3_dv_jobs_p1;)
|
||||
$(foreach item,$(ITEMS_2),sbatch --wait --verbose --array=$(shell expr $(item) + $(ONE))-$(shell expr $(item) + $(STEP)) run_simulation.sbatch 0 robustness_3_dv_jobs_p2;)
|
||||
$(foreach item,$(ITEMS_3),sbatch --wait --verbose --array=$(shell expr $(item) + $(ONE))-$(shell expr $(item) + $(STEP)) run_simulation.sbatch 0 robustness_3_dv_jobs_p3;)
|
||||
|
||||
|
||||
robustness_3_dv.RDS: plot_dv_example.R robustness_3_dv.feather
|
||||
rm -f $@
|
||||
${srun} Rscript $< --infile $(word 2, $^) --name "robustness_3_dv" --remember-file $@
|
||||
|
||||
|
||||
robustness_4_jobs_p1: grid_sweep.py 02_indep_differential.R simulation_base.R grid_sweep.py
|
||||
rm -f $@
|
||||
${srun} $< --command 'Rscript 02_indep_differential.R' --arg_dict '{"N":${Ns},"m":${ms}, "seed":${seeds}, "outfile":["robustness_4.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":[0.85],y_bias=[-1,-0.85]}' --outfile $@
|
||||
${srun} $< --command 'Rscript 02_indep_differential.R' --arg_dict '{"N":${Ns},"m":${ms}, "seed":${seeds}, "outfile":["robustness_4.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":[0.85],"y_bias":[-1,-0.85]}' --outfile $@
|
||||
|
||||
robustness_4_jobs_p2: grid_sweep.py 02_indep_differential.R simulation_base.R grid_sweep.py
|
||||
rm -f $@
|
||||
${srun} $< --command 'Rscript 02_indep_differential.R' --arg_dict '{"N":${Ns},"m":${ms}, "seed":${seeds}, "outfile":["robustness_4.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":[0.85], y_bias=[-0.70,-0.55]}' --outfile $@
|
||||
${srun} $< --command 'Rscript 02_indep_differential.R' --arg_dict '{"N":${Ns},"m":${ms}, "seed":${seeds}, "outfile":["robustness_4.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":[0.85], "y_bias":[-0.70,-0.55]}' --outfile $@
|
||||
|
||||
robustness_4_jobs_p3: grid_sweep.py 02_indep_differential.R simulation_base.R grid_sweep.py
|
||||
rm -f $@
|
||||
${srun} $< --command 'Rscript 02_indep_differential.R' --arg_dict '{"N":${Ns},"m":${ms}, "seed":${seeds}, "outfile":["robustness_4.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":[0.85],y_bias=[-0.4,-0.25]}' --outfile $@
|
||||
${srun} $< --command 'Rscript 02_indep_differential.R' --arg_dict '{"N":${Ns},"m":${ms}, "seed":${seeds}, "outfile":["robustness_4.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":[0.85],"y_bias":[-0.4,-0.25]}' --outfile $@
|
||||
|
||||
robustness_4_jobs_p4: grid_sweep.py 02_indep_differential.R simulation_base.R grid_sweep.py
|
||||
rm -f $@
|
||||
${srun} $< --command 'Rscript 02_indep_differential.R' --arg_dict '{"N":${Ns},"m":${ms}, "seed":${seeds}, "outfile":["robustness_4.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":[0.85],y_bias=[-0.1,0]}' --outfile $@
|
||||
|
||||
START=0
|
||||
END_1=$(shell cat robustness_4_jobs_p1 | wc -l)
|
||||
END_2=$(shell cat robustness_4_jobs_p2 | wc -l)
|
||||
END_3=$(shell cat robustness_4_jobs_p3 | wc -l)
|
||||
END_4=$(shell cat robustness_4_jobs_p3 | wc -l)
|
||||
|
||||
STEP=1000
|
||||
ONE=1
|
||||
ITEMS_1=$(shell seq $(START) $(STEP) $(END_1))
|
||||
ITEMS_2=$(shell seq $(START) $(STEP) $(END_2))
|
||||
ITEMS_3=$(shell seq $(START) $(STEP) $(END_3))
|
||||
ITEMS_4=$(shell seq $(START) $(STEP) $(END_4))
|
||||
${srun} $< --command 'Rscript 02_indep_differential.R' --arg_dict '{"N":${Ns},"m":${ms}, "seed":${seeds}, "outfile":["robustness_4.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":[0.85],"y_bias":[-0.1,0]}' --outfile $@
|
||||
|
||||
robustness_4.feather: robustness_4_jobs_p1 robustness_4_jobs_p2 robustness_4_jobs_p3
|
||||
$(foreach item,$(ITEMS_1),sbatch --wait --verbose --array=$(shell expr $(item) + $(ONE))-$(shell expr $(item) + $(STEP)) run_simulation.sbatch 0 robustness_4_jobs_p1)
|
||||
$(eval END_1!=cat robustness_4_jobs_p1 | wc -l)
|
||||
$(eval ITEMS_1!=seq $(START) $(STEP) $(END_1))
|
||||
$(eval END_2!=cat robustness_4_jobs_p2 | wc -l)
|
||||
$(eval ITEMS_2!=seq $(START) $(STEP) $(END_2))
|
||||
$(eval END_3!=cat robustness_4_jobs_p3 | wc -l)
|
||||
$(eval ITEMS_3!=seq $(START) $(STEP) $(END_3))
|
||||
|
||||
$(foreach item,$(ITEMS_1),sbatch --wait --verbose --array=$(shell expr $(item) + $(ONE))-$(shell expr $(item) + $(STEP)) run_simulation.sbatch 0 robustness_4_jobs_p1;)
|
||||
$(foreach item,$(ITEMS_2),sbatch --wait --verbose --array=$(shell expr $(item) + $(ONE))-$(shell expr $(item) + $(STEP)) run_simulation.sbatch 0 robustness_4_jobs_p2;)
|
||||
$(foreach item,$(ITEMS_3),sbatch --wait --verbose --array=$(shell expr $(item) + $(ONE))-$(shell expr $(item) + $(STEP)) run_simulation.sbatch 0 robustness_4_jobs_p3;)
|
||||
|
||||
|
||||
robustness_4_dv_jobs_p1: grid_sweep.py 03_depvar.R simulation_base.R grid_sweep.py
|
||||
robustness_4.RDS: plot_example.R robustness_4.feather
|
||||
rm -f $@
|
||||
${srun} $< --command 'Rscript 03_depvar.R' --arg_dict '{"N":${Ns},"m":${ms}, "seed":${seeds}, "outfile":["robustness_4.feather"],"y_explained_variance":${explained_variances}, "Bzy":[-0.3],"Bxy":[0.3],"Bzx":[0.3],"B0":[0.5] "outcome_formula":["y~x+z"], "prediction_accuracy":[0.85],z_bias=[0,0.1]}' --outfile $@
|
||||
${srun} Rscript $< --infile $(word 2, $^) --name "robustness_4" --remember-file $@
|
||||
|
||||
robustness_4_dv_jobs_p2: grid_sweep.py 03_depvar.R simulation_base.R grid_sweep.py
|
||||
|
||||
# '{"N":${Ns},"Bxy":[0.7],"Bzy":[-0.7],"m":${ms}, "seed":${seeds}, "outfile":["example_4.feather"], "z_bias":[0.5]}' --outfile example_4_jobs
|
||||
|
||||
robustness_4_dv_jobs_p1: grid_sweep.py 04_depvar_differential.R simulation_base.R grid_sweep.py
|
||||
rm -f $@
|
||||
${srun} $< --command 'Rscript 03_depvar.R' --arg_dict '{"N":${Ns},"m":${ms}, "seed":${seeds}, "outfile":["robustness_4.feather"],"y_explained_variance":${explained_variances}, "Bzy":[-0.3],"Bxy":[0.3],"Bzx":[0.3],"B0":[0.5] "outcome_formula":["y~x+z"], "prediction_accuracy":[0.85],z_bias=[0.25,0.4]}' --outfile $@
|
||||
${srun} $< --command 'Rscript 04_depvar_differential.R' --arg_dict '{"N":${Ns},"m":${ms}, "seed":${seeds}, "outfile":["robustness_4_dv.feather"], "Bzy":[-0.7],"Bxy":[0.7], "outcome_formula":["y~x+z"], "prediction_accuracy":[0.85],"z_bias":[0,0.1]}' --outfile $@
|
||||
|
||||
robustness_4_dv_jobs_p3: grid_sweep.py 03_depvar.R simulation_base.R grid_sweep.py
|
||||
robustness_4_dv_jobs_p2: grid_sweep.py 04_depvar_differential.R simulation_base.R grid_sweep.py
|
||||
rm -f $@
|
||||
${srun} $< --command 'Rscript 03_depvar.R' --arg_dict '{"N":${Ns},"m":${ms}, "seed":${seeds}, "outfile":["robustness_4.feather"],"y_explained_variance":${explained_variances}, "Bzy":[-0.3],"Bxy":[0.3],"Bzx":[0.3], "B0":[0.5], "outcome_formula":["y~x+z"], "prediction_accuracy":[0.85],z_bias=[0.55,0.7]}' --outfile $@
|
||||
robustness_4_dv_jobs_p4: grid_sweep.py 03_depvar.R simulation_base.R grid_sweep.py
|
||||
${srun} $< --command 'Rscript 04_depvar_differential.R' --arg_dict '{"N":${Ns},"m":${ms}, "seed":${seeds}, "outfile":["robustness_4_dv.feather"], "Bzy":[-0.7],"Bxy":[0.7], "outcome_formula":["y~x+z"], "prediction_accuracy":[0.85],"z_bias":[0.25,0.4]}' --outfile $@
|
||||
|
||||
robustness_4_dv_jobs_p3: grid_sweep.py 04_depvar_differential.R simulation_base.R grid_sweep.py
|
||||
rm -f $@
|
||||
${srun} $< --command 'Rscript 03_depvar.R' --arg_dict '{"N":${Ns},"m":${ms}, "seed":${seeds}, "outfile":["robustness_4.feather"],"y_explained_variance":${explained_variances}, "Bzy":[-0.3],"Bxy":[0.3],"Bzx":[0.3], "B0":[0.5], "outcome_formula":["y~x+z"], "prediction_accuracy":[0.85],z_bias=[0.85,1]}' --outfile $@
|
||||
${srun} $< --command 'Rscript 04_depvar_differential.R' --arg_dict '{"N":${Ns},"m":${ms}, "seed":${seeds}, "outfile":["robustness_4_dv.feather"], "Bzy":[-0.7],"Bxy":[0.7],"outcome_formula":["y~x+z"], "prediction_accuracy":[0.85],"z_bias":[0.55,0.7]}' --outfile $@
|
||||
|
||||
|
||||
START=0
|
||||
END_1=$(shell cat robustness_4_dv_jobs_p1 | wc -l)
|
||||
END_2=$(shell cat robustness_4_dv_jobs_p2 | wc -l)
|
||||
END_3=$(shell cat robustness_4_dv_jobs_p3 | wc -l)
|
||||
|
||||
STEP=1000
|
||||
ONE=1
|
||||
ITEMS_1=$(shell seq $(START) $(STEP) $(END_1))
|
||||
ITEMS_2=$(shell seq $(START) $(STEP) $(END_2))
|
||||
ITEMS_3=$(shell seq $(START) $(STEP) $(END_3))
|
||||
robustness_4_dv_jobs_p4: grid_sweep.py 04_depvar_differential.R simulation_base.R grid_sweep.py
|
||||
rm -f $@
|
||||
${srun} $< --command 'Rscript 04_depvar_differential.R' --arg_dict '{"N":${Ns},"m":${ms}, "seed":${seeds}, "outfile":["robustness_4_dv.feather"],"Bzy":[-0.7],"Bxy":[0.7], "outcome_formula":["y~x+z"], "prediction_accuracy":[0.85],"z_bias":[0.85,1]}' --outfile $@
|
||||
|
||||
robustness_4_dv.feather: robustness_4_dv_jobs_p1 robustness_4_dv_jobs_p2 robustness_4_dv_jobs_p3
|
||||
$(foreach item,$(ITEMS_1),sbatch --wait --verbose --array=$(shell expr $(item) + $(ONE))-$(shell expr $(item) + $(STEP)) run_simulation.sbatch 0 robustness_4_dv_jobs_p1)
|
||||
$(eval END_1!=cat robustness_4_dv_jobs_p1 | wc -l)
|
||||
$(eval ITEMS_1!=seq $(START) $(STEP) $(END_1))
|
||||
$(eval END_2!=cat robustness_4_dv_p2 | wc -l)
|
||||
$(eval ITEMS_2!=seq $(START) $(STEP) $(END_2))
|
||||
$(eval END_3!=cat robustness_4_dv_p3 | wc -l)
|
||||
$(eval ITEMS_3!=seq $(START) $(STEP) $(END_3))
|
||||
|
||||
$(foreach item,$(ITEMS_1),sbatch --wait --verbose --array=$(shell expr $(item) + $(ONE))-$(shell expr $(item) + $(STEP)) run_simulation.sbatch 0 robustness_4_dv_jobs_p1;)
|
||||
$(foreach item,$(ITEMS_2),sbatch --wait --verbose --array=$(shell expr $(item) + $(ONE))-$(shell expr $(item) + $(STEP)) run_simulation.sbatch 0 robustness_4_dv_jobs_p2;)
|
||||
$(foreach item,$(ITEMS_3),sbatch --wait --verbose --array=$(shell expr $(item) + $(ONE))-$(shell expr $(item) + $(STEP)) run_simulation.sbatch 0 robustness_4_dv_jobs_p3;)
|
||||
|
||||
|
||||
robustness_4_dv.RDS: plot_dv_example.R robustness_4_dv.feather
|
||||
rm -f $@
|
||||
${srun} Rscript $< --infile $(word 2, $^) --name "robustness_4" --remember-file $@
|
||||
|
||||
#
|
||||
clean:
|
||||
rm *.feather
|
||||
rm -f remembr.RDS
|
||||
rm -f remembr*.RDS
|
||||
rm -f robustness*.RDS
|
||||
rm -f example_*_jobs
|
||||
rm -f robustness_*_jobs_*
|
||||
# sbatch --wait --verbose --array=3001-6001 run_simulation.sbatch 0 example_2_B_jobs
|
||||
|
||||
# example_2_B_mecor_jobs:
|
||||
|
||||
Reference in New Issue
Block a user