Nothing
Code
cat(export_as_txt(res, lpp = 100))
Output
F M All Genders
Patients Person time Patients Person time Patients
Age Group (N=30) (N=30) (N=15) (N=15) (N=45)
———————————————————————————————————————————————————————————————————————————————————————————————————————
<65 30 (100.0%) 4088 15 (100.0%) 1825 45 (100.0%)
Total patients number/person time 30 (100.0%) 4088 15 (100.0%) 1825 45 (100.0%)
\s\n All Genders
Person time
Age Group (N=45)
———————————————————————————————————————————————
<65 5913
Total patients number/person time 5913
Code
cat(export_as_txt(res1, lpp = 100))
Output
All
F M Genders
Patients Person time Patients Person time Patients
Age Group (N=30) (N=30) (N=15) (N=15) (N=45)
——————————————————————————————————————————————————————————————————————————————————————————————
<65 0 (0.0%) 0 0 (0.0%) 0 0 (0.0%)
Total patients number/person time 0 (0.0%) 0 0 (0.0%) 0 0 (0.0%)
\s\n All Genders
Person time
Age Group (N=45)
———————————————————————————————————————————————
<65 0
Total patients number/person time 0
Code
cat(export_as_txt(res2, lpp = 100))
Output
All
F M Genders
Patients Person time Patients Person time Patients
Age Group (N=30) (N=30) (N=15) (N=15) (N=45)
——————————————————————————————————————————————————————————————————————————————————————————————
<65 0 (0.0%) 0 0 (0.0%) 0 0 (0.0%)
Total patients number/person time 0 (0.0%) 0 0 (0.0%) 0 0 (0.0%)
Drug A
<65 0 (0.0%) 0 0 (0.0%) 0 0 (0.0%)
Total patients number/person time 0 (0.0%) 0 0 (0.0%) 0 0 (0.0%)
Drug B
<65 0 (0.0%) 0 0 (0.0%) 0 0 (0.0%)
Total patients number/person time 0 (0.0%) 0 0 (0.0%) 0 0 (0.0%)
\s\n All Genders
Person time
Age Group (N=45)
———————————————————————————————————————————————
<65 0
Total patients number/person time 0
Drug A
<65 0
Total patients number/person time 0
Drug B
<65 0
Total patients number/person time 0
Code
cat(export_as_txt(res1, lpp = 100))
Output
All
F M Genders
Patients Person time Patients Person time Patients
Age Group (N=30) (N=30) (N=15) (N=15) (N=45)
———————————————————————————————————————————————————————————————————————————————————————————————————
<65 18 (60.0%) 2034 7 (46.7%) 919 25 (55.6%)
Total patients number/person time 18 (60.0%) 2034 7 (46.7%) 919 25 (55.6%)
\s\n All Genders
Person time
Age Group (N=45)
———————————————————————————————————————————————
<65 2953
Total patients number/person time 2953
Code
cat(export_as_txt(res2, lpp = 100))
Output
All
F M Genders
Patients Person time Patients Person time Patients
Age Group (N=30) (N=30) (N=15) (N=15) (N=45)
———————————————————————————————————————————————————————————————————————————————————————————————————
<65 18 (60.0%) 2034 7 (46.7%) 919 25 (55.6%)
Total patients number/person time 18 (60.0%) 2034 7 (46.7%) 919 25 (55.6%)
Drug A
<65 11 (36.7%) 1329 4 (26.7%) 592 15 (33.3%)
Total patients number/person time 11 (36.7%) 1329 4 (26.7%) 592 15 (33.3%)
Drug B
<65 7 (23.3%) 705 3 (20.0%) 327 10 (22.2%)
Total patients number/person time 7 (23.3%) 705 3 (20.0%) 327 10 (22.2%)
\s\n All Genders
Person time
Age Group (N=45)
———————————————————————————————————————————————
<65 2953
Total patients number/person time 2953
Drug A
<65 1921
Total patients number/person time 1921
Drug B
<65 1032
Total patients number/person time 1032
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