]> code.communitydata.science - ml_measurement_error_public.git/blob - simulations/Makefile
Added, but didn't test the remaining robustness checks.
[ml_measurement_error_public.git] / simulations / Makefile
1
2 SHELL=bash
3
4 Ns=[1000, 5000, 10000]
5 ms=[100, 200, 400]
6 seeds=[$(shell seq -s, 1 500)]
7 explained_variances=[0.1]
8
9 all:remembr.RDS remember_irr.RDS
10 supplement: remember_robustness_misspec.RDS
11
12 srun=sbatch --wait --verbose run_job.sbatch
13
14
15 joblists:example_1_jobs example_2_jobs example_3_jobs
16
17 # test_true_z_jobs: test_true_z.R simulation_base.R
18 #       sbatch --wait --verbose run_job.sbatch grid_sweep.py --command "Rscript test_true_z.R" --arg_dict '{"N":${Ns},"m":${ms}, "seed":${seeds}, "outfile":["test_true_z.feather"], "y_explained_variancevari":${explained_variances}, "Bzx":${Bzx}}' --outfile test_true_z_jobsb
19
20 # test_true_z.feather: test_true_z_jobs 
21 #       rm -f test_true_z.feather
22 #       sbatch --wait --verbose --array=1-3000 run_simulation.sbatch 0 test_true_z_jobs
23 #       sbatch --wait --verbose --array=3001-6001 run_simulation.sbatch 0 test_true_z_jobs
24
25
26 example_1_jobs: 01_two_covariates.R simulation_base.R grid_sweep.py pl_methods.R
27         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
28
29 example_1.feather: example_1_jobs 
30         rm -f example_1.feather
31         sbatch --wait --verbose --array=1-1000  run_simulation.sbatch 0 example_1_jobs
32         sbatch --wait --verbose --array=1001-2000  run_simulation.sbatch 0 example_1_jobs
33         sbatch --wait --verbose --array=2001-3000  run_simulation.sbatch 0 example_1_jobs
34         sbatch --wait --verbose --array=3001-4000  run_simulation.sbatch 0 example_1_jobs
35         sbatch --wait --verbose --array=4001-$(shell cat example_1_jobs | wc -l)  run_simulation.sbatch 0 example_1_jobs
36
37 example_2_jobs: 02_indep_differential.R simulation_base.R grid_sweep.py pl_methods.R
38         sbatch --wait --verbose run_job.sbatch grid_sweep.py --command "Rscript 02_indep_differential.R" --arg_dict '{"N":${Ns},"m":${ms}, "seed":${seeds}, "outfile":["example_2.feather"],"y_explained_variance":${explained_variances},  "Bzy":[-0.3],"Bxy":[0.3],"Bzx":[1], "outcome_formula":["y~x+z"], "proxy_formula":["w_pred~y*z*x"]}' --outfile example_2_jobs
39
40 example_2.feather: example_2_jobs 
41         rm -f example_2.feather
42         sbatch --wait --verbose --array=1-1000  run_simulation.sbatch 0 example_2_jobs
43         sbatch --wait --verbose --array=1001-2000  run_simulation.sbatch 0 example_2_jobs
44         sbatch --wait --verbose --array=2001-3000  run_simulation.sbatch 0 example_2_jobs
45         sbatch --wait --verbose --array=3001-4000  run_simulation.sbatch 0 example_2_jobs
46         sbatch --wait --verbose --array=4001-$(shell cat example_2_jobs | wc -l)  run_simulation.sbatch 0 example_2_jobs
47
48
49 # example_2_B_jobs: example_2_B.R
50 #       sbatch --wait --verbose run_job.sbatch grid_sweep.py --command "Rscript example_2_B.R" --arg_dict '{"N":${Ns},"m":${ms}, "seed":${seeds}, "outfile":["example_2_B.feather"]}' --outfile example_2_B_jobs
51
52 # example_2_B.feather: example_2_B_jobs
53 #       rm -f example_2_B.feather
54 #       sbatch --wait --verbose --array=1-3000 run_simulation.sbatch 0 example_2_B_jobs
55
56 example_3_jobs: 03_depvar.R simulation_base.R grid_sweep.py pl_methods.R
57         sbatch --wait --verbose run_job.sbatch grid_sweep.py --command "Rscript 03_depvar.R" --arg_dict '{"N":${Ns},"m":${ms}, "Bxy":[0.7],"Bzy":[-0.7],"seed":${seeds}, "outfile":["example_3.feather"], "y_explained_variance":${explained_variances}}' --outfile example_3_jobs
58
59 example_3.feather: example_3_jobs
60         rm -f example_3.feather 
61         sbatch --wait --verbose --array=1-1000  run_simulation.sbatch 0 example_3_jobs
62         sbatch --wait --verbose --array=1001-2000  run_simulation.sbatch 0 example_3_jobs
63         sbatch --wait --verbose --array=2001-3000  run_simulation.sbatch 0 example_3_jobs
64         sbatch --wait --verbose --array=3001-4000  run_simulation.sbatch 0 example_3_jobs
65         sbatch --wait --verbose --array=4001-$(shell cat example_3_jobs | wc -l)  run_simulation.sbatch 0 example_3_jobs
66
67 example_4_jobs: 04_depvar_differential.R simulation_base.R grid_sweep.py pl_methods.R
68         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":${seeds}, "outfile":["example_4.feather"], "z_bias":[0.5]}' --outfile example_4_jobs
69
70 example_4.feather: example_4_jobs
71         rm -f example_4.feather 
72         sbatch --wait --verbose --array=1-1000  run_simulation.sbatch 0 example_4_jobs
73         sbatch --wait --verbose --array=1001-2000  run_simulation.sbatch 0 example_4_jobs
74         sbatch --wait --verbose --array=2001-3000  run_simulation.sbatch 0 example_4_jobs
75         sbatch --wait --verbose --array=3001-4000  run_simulation.sbatch 0 example_4_jobs
76         sbatch --wait --verbose --array=4001-$(shell cat example_4_jobs | wc -l)  run_simulation.sbatch 0 example_4_jobs
77
78
79
80 remembr.RDS:example_1.feather example_2.feather example_3.feather example_4.feather plot_example.R plot_dv_example.R summarize_estimator.R
81         rm -f remembr.RDS
82         ${srun} Rscript plot_example.R --infile example_1.feather --name "plot.df.example.1"
83         ${srun} Rscript plot_example.R --infile example_2.feather --name "plot.df.example.2"
84         ${srun} Rscript plot_dv_example.R --infile example_3.feather --name "plot.df.example.3"
85         ${srun} Rscript plot_dv_example.R --infile example_4.feather --name "plot.df.example.4"
86
87
88 irr_Ns = [1000]
89 irr_ms = [150,300,600]
90 irr_seeds=${seeds}
91 irr_explained_variances=${explained_variances}
92 irr_coder_accuracy=[0.80]
93
94 example_5_jobs: 05_irr_indep.R irr_simulation_base.R grid_sweep.py pl_methods.R measerr_methods.R
95         sbatch --wait --verbose run_job.sbatch grid_sweep.py --command "Rscript 05_irr_indep.R" --arg_dict '{"N":${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
96
97 example_5.feather:example_5_jobs
98         rm -f example_5.feather
99         sbatch --wait --verbose --array=1-1000  run_simulation.sbatch 0 example_5_jobs
100         sbatch --wait --verbose --array=1001-$(shell cat example_5_jobs | wc -l)  run_simulation.sbatch 1000 example_5_jobs
101         # sbatch --wait --verbose --array=2001-3000  run_simulation.sbatch 2000 example_5_jobs
102         # sbatch --wait --verbose --array=3001-4000  run_simulation.sbatch 3000 example_5_jobs
103         # sbatch --wait --verbose --array=2001-$(shell cat example_5_jobs | wc -l)  run_simulation.sbatch 4000 example_5_jobs
104
105
106
107 # example_6_jobs: 06_irr_dv.R irr_dv_simulation_base.R grid_sweep.py pl_methods.R
108 #       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":${irr_coder_accuracy}}' --outfile example_6_jobs
109
110 # example_6.feather:example_6_jobs
111 #       rm -f example_6.feather
112 #       sbatch --wait --verbose --array=1-1000  run_simulation.sbatch 0 example_6_jobs
113 #       sbatch --wait --verbose --array=1001-2000  run_simulation.sbatch 1000 example_6_jobs
114 #       sbatch --wait --verbose --array=2001-$(shell cat example_6_jobs | wc -l)  run_simulation.sbatch 2000 example_6_jobs
115
116
117 remember_irr.RDS: example_5.feather plot_irr_example.R plot_irr_dv_example.R summarize_estimator.R
118         rm -f remember_irr.RDS
119         sbatch --wait --verbose run_job.sbatch Rscript plot_irr_example.R --infile example_5.feather --name "plot.df.example.5"
120 #       sbatch --wait --verbose run_job.sbatch Rscript plot_irr_dv_example.R --infile example_6.feather --name "plot.df.example.6"
121
122
123 robustness_1_jobs: 02_indep_differential.R simulation_base.R grid_sweep.py
124         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
125
126
127 robustness_1.feather: robustness_1_jobs
128         rm -f robustness_1.feather
129         sbatch --wait --verbose --array=1-1000  run_simulation.sbatch 0 robustness_1_jobs
130         sbatch --wait --verbose --array=1001-2000  run_simulation.sbatch 0 robustness_1_jobs
131         sbatch --wait --verbose --array=2001-3000  run_simulation.sbatch 0 robustness_1_jobs
132         sbatch --wait --verbose --array=3001-4000  run_simulation.sbatch 0 robustness_1_jobs
133         sbatch --wait --verbose --array=4001-$(shell cat robustness_1_jobs | wc -l)  run_simulation.sbatch 0 robustness_1_jobs
134
135 robustness_1.RDS: robustness_1.feather
136         rm -f robustness_1.RDS
137         ${srun} Rscript plot_example.R --infile $< --name "robustness_1" --remember-file $@
138
139 robustness_1_dv_jobs: simulation_base.R 04_depvar_differential.R grid_sweep.py
140         ${srun} bash -c "source ~/.bashrc && grid_sweep.py --command 'Rscript 04_depvar_differential.R' --arg_dict \"{'N':${Ns},'m':${ms}, 'seed':${seeds}, 'outfile':['robustness_1_dv.feather'], 'y_explained_variance':${explained_variances}, 'proxy_formula':['w_pred~y']}\" --outfile robustness_1_dv_jobs"
141
142
143 robustness_1_dv.feather: robustness_1_dv_jobs
144         rm -f robustness_1_dv.feather
145         sbatch --wait --verbose --array=1-$(shell cat example_3_jobs | wc -l)  run_simulation.sbatch 0 robustness_1_dv_jobs
146
147
148 robustness_1_dv.RDS: robustness_1_dv.feather
149         rm -f $@
150         ${srun} Rscript plot_dv_example.R --infile $< --name "robustness_1_dv" --outfile $@
151
152
153 robustness_2_jobs_p1: grid_sweep.py 01_two_covariates.R simulation_base.R grid_sweep.py
154         rm -f $@
155         ${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":[0.60,0.65]}' --outfile $@
156
157 robustness_2_jobs_p2: grid_sweep.py 01_two_covariates.R simulation_base.R grid_sweep.py
158         rm -f $@
159         ${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":[0.70,0.75]}' --outfile $@
160
161 robustness_2_jobs_p3: grid_sweep.py 01_two_covariates.R simulation_base.R grid_sweep.py
162         rm -f $@
163         ${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":[0.80,0.85]}' --outfile $@
164
165 robustness_2_jobs_p4: grid_sweep.py 01_two_covariates.R simulation_base.R grid_sweep.py
166         rm -f $@
167         ${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 $@
168
169 START=0
170 END_1=$(shell cat robustness_2_jobs_p1 | wc -l)
171 END_2=$(shell cat robustness_2_jobs_p2 | wc -l)
172 END_3=$(shell cat robustness_2_jobs_p3 | wc -l)
173 END_4=$(shell cat robustness_2_jobs_p4 | wc -l)
174 STEP=1000
175 ONE=1
176 ITEMS_1=$(shell seq $(START) $(STEP) $(END_1))
177 ITEMS_2=$(shell seq $(START) $(STEP) $(END_2))
178 ITEMS_3=$(shell seq $(START) $(STEP) $(END_3))
179 ITEMS_4=$(shell seq $(START) $(STEP) $(END_4))
180
181 robustness_2.feather: robustness_2_jobs_p1 robustness_2_jobs_p2 robustness_2_jobs_p3 robustness_2_jobs_p4
182         $(foreach item,$(ITEMS_1),sbatch --wait --verbose --array=$(shell expr $(item) + $(ONE))-$(shell expr $(item) + $(STEP)) run_simulation.sbatch 0 robustness_2_jobs_p1)
183         $(foreach item,$(ITEMS_2),sbatch --wait --verbose --array=$(shell expr $(item) + $(ONE))-$(shell expr $(item) + $(STEP)) run_simulation.sbatch 0 robustness_2_jobs_p2;)
184         $(foreach item,$(ITEMS_3),sbatch --wait --verbose --array=$(shell expr $(item) + $(ONE))-$(shell expr $(item) + $(STEP)) run_simulation.sbatch 0 robustness_2_jobs_p3;)
185         $(foreach item,$(ITEMS_4),sbatch --wait --verbose --array=$(shell expr $(item) + $(ONE))-$(shell expr $(item) + $(STEP)) run_simulation.sbatch 0 robustness_2_jobs_p4;)
186
187
188 robustness_2_dv_jobs_p1: grid_sweep.py 03_depvar.R simulation_base.R grid_sweep.py
189         rm -f $@
190         ${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 $@
191
192 robustness_2_dv_jobs_p2: grid_sweep.py 03_depvar.R simulation_base.R grid_sweep.py
193         rm -f $@
194         ${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 $@
195
196 robustness_2_dv_jobs_p3: grid_sweep.py 03_depvar.R simulation_base.R grid_sweep.py
197         rm -f $@
198         ${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 $@
199
200 robustness_2_dv_jobs_p4: grid_sweep.py 03_depvar.R simulation_base.R grid_sweep.py
201         rm -f $@
202         ${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 $@
203
204 START=0
205 END_1=$(shell cat robustness_2_dv_jobs_p1 | wc -l)
206 END_2=$(shell cat robustness_2_dv_jobs_p2 | wc -l)
207 END_3=$(shell cat robustness_2_dv_jobs_p3 | wc -l)
208 END_4=$(shell cat robustness_2_dv_jobs_p4 | wc -l)
209 STEP=1000
210 ONE=1
211 ITEMS_1=$(shell seq $(START) $(STEP) $(END_1))
212 ITEMS_2=$(shell seq $(START) $(STEP) $(END_2))
213 ITEMS_3=$(shell seq $(START) $(STEP) $(END_3))
214 ITEMS_4=$(shell seq $(START) $(STEP) $(END_4))
215
216 robustness_2_dv.feather: robustness_2_dv_jobs_p1 robustness_2_dv_jobs_p2 robustness_2_dv_jobs_p3 robustness_2_dv_jobs_p4
217         $(foreach item,$(ITEMS_1),sbatch --wait --verbose --array=$(shell expr $(item) + $(ONE))-$(shell expr $(item) + $(STEP)) run_simulation.sbatch 0 robustness_2_dv_jobs_p1)
218         $(foreach item,$(ITEMS_2),sbatch --wait --verbose --array=$(shell expr $(item) + $(ONE))-$(shell expr $(item) + $(STEP)) run_simulation.sbatch 0 robustness_2_dv_jobs_p2;)
219         $(foreach item,$(ITEMS_3),sbatch --wait --verbose --array=$(shell expr $(item) + $(ONE))-$(shell expr $(item) + $(STEP)) run_simulation.sbatch 0 robustness_2_dv_jobs_p3;)
220         $(foreach item,$(ITEMS_4),sbatch --wait --verbose --array=$(shell expr $(item) + $(ONE))-$(shell expr $(item) + $(STEP)) run_simulation.sbatch 0 robustness_2_dv_jobs_p4;)
221
222
223
224 robustness_3_jobs_p1: grid_sweep.py 01_two_covariates.R simulation_base.R grid_sweep.py
225         rm -f $@
226         ${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":[0.5,0.6], "outcome_formula":["y~x+z"], "proxy_formula":["w_pred~y+x"], "truth_formula":["x~z"], "prediction_accuracy":[0.85]}' --outfile $@
227
228 robustness_3_jobs_p2: grid_sweep.py 01_two_covariates.R simulation_base.R grid_sweep.py
229         rm -f $@
230         ${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":[0.7,0.8], "outcome_formula":["y~x+z"], "proxy_formula":["w_pred~y+x"], "truth_formula":["x~z"], "prediction_accuracy":[0.85]}' --outfile $@
231
232 robustness_3_jobs_p3: grid_sweep.py 01_two_covariates.R simulation_base.R grid_sweep.py
233         rm -f $@
234         ${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 $@
235
236 START=0
237 END_1=$(shell cat robustness_3_jobs_p1 | wc -l)
238 END_2=$(shell cat robustness_3_jobs_p2 | wc -l)
239 END_3=$(shell cat robustness_3_jobs_p3 | wc -l)
240
241 STEP=1000
242 ONE=1
243 ITEMS_1=$(shell seq $(START) $(STEP) $(END_1))
244 ITEMS_2=$(shell seq $(START) $(STEP) $(END_2))
245 ITEMS_3=$(shell seq $(START) $(STEP) $(END_3))
246
247 robustness_3.feather: robustness_3_jobs_p1 robustness_3_jobs_p2 robustness_3_jobs_p3
248         $(foreach item,$(ITEMS_1),sbatch --wait --verbose --array=$(shell expr $(item) + $(ONE))-$(shell expr $(item) + $(STEP)) run_simulation.sbatch 0 robustness_3_jobs_p1)
249         $(foreach item,$(ITEMS_2),sbatch --wait --verbose --array=$(shell expr $(item) + $(ONE))-$(shell expr $(item) + $(STEP)) run_simulation.sbatch 0 robustness_3_jobs_p2;)
250         $(foreach item,$(ITEMS_3),sbatch --wait --verbose --array=$(shell expr $(item) + $(ONE))-$(shell expr $(item) + $(STEP)) run_simulation.sbatch 0 robustness_3_jobs_p3;)
251
252
253 robustness_3_dv_jobs_p1: grid_sweep.py 03_depvar.R simulation_base.R grid_sweep.py
254         rm -f $@
255         ${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 $@
256
257 robustness_3_dv_jobs_p2: grid_sweep.py 03_depvar.R simulation_base.R grid_sweep.py
258         rm -f $@
259         ${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 $@
260
261 robustness_3_dv_jobs_p3: grid_sweep.py 03_depvar.R simulation_base.R grid_sweep.py
262         rm -f $@
263         ${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 $@
264
265 START=0
266 END_1=$(shell cat robustness_3_dv_jobs_p1 | wc -l)
267 END_2=$(shell cat robustness_3_dv_jobs_p2 | wc -l)
268 END_3=$(shell cat robustness_3_dv_jobs_p3 | wc -l)
269
270 STEP=1000
271 ONE=1
272 ITEMS_1=$(shell seq $(START) $(STEP) $(END_1))
273 ITEMS_2=$(shell seq $(START) $(STEP) $(END_2))
274 ITEMS_3=$(shell seq $(START) $(STEP) $(END_3))
275
276 robustness_3_dv.feather: robustness_3_dv_jobs_p1 robustness_3_dv_jobs_p2 robustness_3_dv_jobs_p3
277         $(foreach item,$(ITEMS_1),sbatch --wait --verbose --array=$(shell expr $(item) + $(ONE))-$(shell expr $(item) + $(STEP)) run_simulation.sbatch 0 robustness_3_dv_jobs_p1)
278         $(foreach item,$(ITEMS_2),sbatch --wait --verbose --array=$(shell expr $(item) + $(ONE))-$(shell expr $(item) + $(STEP)) run_simulation.sbatch 0 robustness_3_dv_jobs_p2;)
279         $(foreach item,$(ITEMS_3),sbatch --wait --verbose --array=$(shell expr $(item) + $(ONE))-$(shell expr $(item) + $(STEP)) run_simulation.sbatch 0 robustness_3_dv_jobs_p3;)
280
281
282
283 robustness_4_jobs_p1: grid_sweep.py 02_indep_differential.R simulation_base.R grid_sweep.py
284         rm -f $@
285         ${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 $@
286
287 robustness_4_jobs_p2: grid_sweep.py 02_indep_differential.R simulation_base.R grid_sweep.py
288         rm -f $@
289         ${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 $@
290
291 robustness_4_jobs_p3: grid_sweep.py 02_indep_differential.R simulation_base.R grid_sweep.py
292         rm -f $@
293         ${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 $@
294
295 robustness_4_jobs_p4: grid_sweep.py 02_indep_differential.R simulation_base.R grid_sweep.py
296         rm -f $@
297         ${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 $@
298
299 START=0
300 END_1=$(shell cat robustness_4_jobs_p1 | wc -l)
301 END_2=$(shell cat robustness_4_jobs_p2 | wc -l)
302 END_3=$(shell cat robustness_4_jobs_p3 | wc -l)
303 END_4=$(shell cat robustness_4_jobs_p3 | wc -l)
304
305 STEP=1000
306 ONE=1
307 ITEMS_1=$(shell seq $(START) $(STEP) $(END_1))
308 ITEMS_2=$(shell seq $(START) $(STEP) $(END_2))
309 ITEMS_3=$(shell seq $(START) $(STEP) $(END_3))
310 ITEMS_4=$(shell seq $(START) $(STEP) $(END_4))
311
312 robustness_4.feather: robustness_4_jobs_p1 robustness_4_jobs_p2 robustness_4_jobs_p3
313         $(foreach item,$(ITEMS_1),sbatch --wait --verbose --array=$(shell expr $(item) + $(ONE))-$(shell expr $(item) + $(STEP)) run_simulation.sbatch 0 robustness_4_jobs_p1)
314         $(foreach item,$(ITEMS_2),sbatch --wait --verbose --array=$(shell expr $(item) + $(ONE))-$(shell expr $(item) + $(STEP)) run_simulation.sbatch 0 robustness_4_jobs_p2;)
315         $(foreach item,$(ITEMS_3),sbatch --wait --verbose --array=$(shell expr $(item) + $(ONE))-$(shell expr $(item) + $(STEP)) run_simulation.sbatch 0 robustness_4_jobs_p3;)
316
317
318 robustness_4_dv_jobs_p1: grid_sweep.py 03_depvar.R simulation_base.R grid_sweep.py
319         rm -f $@
320         ${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 $@
321
322 robustness_4_dv_jobs_p2: grid_sweep.py 03_depvar.R simulation_base.R grid_sweep.py
323         rm -f $@
324         ${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 $@
325
326 robustness_4_dv_jobs_p3: grid_sweep.py 03_depvar.R simulation_base.R grid_sweep.py
327         rm -f $@
328         ${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 $@
329 robustness_4_dv_jobs_p4: grid_sweep.py 03_depvar.R simulation_base.R grid_sweep.py
330         rm -f $@
331         ${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 $@
332
333
334 START=0
335 END_1=$(shell cat robustness_4_dv_jobs_p1 | wc -l)
336 END_2=$(shell cat robustness_4_dv_jobs_p2 | wc -l)
337 END_3=$(shell cat robustness_4_dv_jobs_p3 | wc -l)
338
339 STEP=1000
340 ONE=1
341 ITEMS_1=$(shell seq $(START) $(STEP) $(END_1))
342 ITEMS_2=$(shell seq $(START) $(STEP) $(END_2))
343 ITEMS_3=$(shell seq $(START) $(STEP) $(END_3))
344
345 robustness_4_dv.feather: robustness_4_dv_jobs_p1 robustness_4_dv_jobs_p2 robustness_4_dv_jobs_p3
346         $(foreach item,$(ITEMS_1),sbatch --wait --verbose --array=$(shell expr $(item) + $(ONE))-$(shell expr $(item) + $(STEP)) run_simulation.sbatch 0 robustness_4_dv_jobs_p1)
347         $(foreach item,$(ITEMS_2),sbatch --wait --verbose --array=$(shell expr $(item) + $(ONE))-$(shell expr $(item) + $(STEP)) run_simulation.sbatch 0 robustness_4_dv_jobs_p2;)
348         $(foreach item,$(ITEMS_3),sbatch --wait --verbose --array=$(shell expr $(item) + $(ONE))-$(shell expr $(item) + $(STEP)) run_simulation.sbatch 0 robustness_4_dv_jobs_p3;)
349
350 #       
351 clean:
352         rm *.feather
353         rm -f remembr.RDS
354         rm -f example_*_jobs
355 #       sbatch --wait --verbose --array=3001-6001 run_simulation.sbatch 0 example_2_B_jobs
356
357 # example_2_B_mecor_jobs:
358 #       sbatch --wait --verbose run_job.sbatch grid_sweep.py --command "Rscript example_2_B_mecor.R" --arg_dict '{"N":${Ns},"m":${ms}, "seed":${seeds}, "outfile":["example_2_B_mecor.feather"]}' --outfile example_2_B_mecor_jobs
359
360 # example_2_B_mecor.feather:example_2_B_mecor.R example_2_B_mecor_jobs
361 #       rm -f example_2_B_mecor.feather
362 #       sbatch --wait --verbose --array=1-3000 run_simulation.sbatch 0 example_2_B_mecor_jobs
363 #       sbatch --wait --verbose --array=3001-6001 run_simulation.sbatch 0 example_2_B_mecor_jobs
364
365
366
367 .PHONY: supplement

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