groceryheist/ml_measurement_error_public
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update simulation and mle code

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This commit is contained in:
Nathan TeBlunthuis
2022-09-02 11:34:50 -07:00
parent 47e9367ed5
commit 979dc14b68
12 changed files with 899 additions and 21 deletions
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37
simulations/Makefile
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@@ -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