Extract the marginal effect-size (beta) vector from a
GwasSumStats or QtlSumStats entry, selected by its identity
tuple.
Examples
data(qtlSumStatsExample)
getBeta(qtlSumStatsExample)
#> [1] -0.236754245 0.019028899 -0.043131191 -0.119430154 -0.149398852
#> [6] -0.190947609 0.042860825 -0.157984244 -0.080885391 0.082147470
#> [11] 0.150816893 -0.020832522 0.007481250 0.033597881 0.125970733
#> [16] -0.004587459 -0.074693050 -0.121815127 0.167726908 0.442092068
#> [21] 0.206412336 0.099970251 0.099970251 0.067709069 0.077266211
#> [26] -0.048090517 -0.046954069 -0.030722565 0.181473272 0.017885892
#> [31] 0.181473272 -0.360327869 -0.031097043 0.181006478 -0.108678239
#> [36] -0.033084031 -0.094393428 0.046633271 -0.396094934 0.154428544
#> [41] 0.153605206 0.281688080 0.021891758 -0.121569648 0.110694847
#> [46] -0.170185526 0.089859762 -0.018524480 -0.063083126 0.554132077
#> [51] -0.232094941 0.559627393 0.556003665 -0.182615003 0.415953885
#> [56] 0.206502990 0.555386861 0.546937251 -0.006430736 0.139058413
#> [61] 0.471963081 0.629971521 0.358052328 -0.099016260 -0.184186704
#> [66] 0.338074664 0.450609000 -0.123486584 -0.119615983 0.309903114
#> [71] -0.116098815 -0.135055252 0.105783635 -0.169890838 0.436770212
#> [76] 0.450609000 -0.113970334 0.450609000 -0.142357751 0.465902123
#> [81] 0.452779312 0.434592681 0.436770212 0.450609000 -0.149536063
#> [86] 0.323726327 0.404962858 -0.070478336 -0.070478336 -0.081283672
#> [91] -0.164967684 0.376643514 -0.152574497 -0.163387875 -0.170496699
#> [96] 0.049560591 0.374700845 -0.094042587 -0.063315932 0.283717854
#> [101] -0.063315932 0.188749086 -0.028094589 -0.028094589 0.214574922
#> [106] -0.029070557 -0.029070557 -0.063315932 0.282684157 0.179838938
#> [111] -0.070833052 0.213384468 0.179838938 -0.017257113 -0.163387875
#> [116] -0.017257113 -0.017257113 0.076101317 0.280888207 -0.148880398
#> [121] 0.258047465 0.280888207 -0.148880398 0.266657239 0.092250840
#> [126] 0.071535096 -0.046020072 0.071535096 0.252311648 -0.170706700
#> [131] 0.073785232 0.064305013 -0.145124681 0.222387151 0.260615837
#> [136] 0.222387151 0.273194930 0.289624513 0.250567223 0.290316054
#> [141] 0.085135557 0.287514184 0.261064153 -0.271228541 -0.023083943
#> [146] 0.072432517 -0.205006219 -0.046003507 -0.126958072 0.408907919
#> [151] -0.032409640 -0.011238975 0.014289296 0.020358477 0.041020113
#> [156] -0.086214737 -0.058572942 0.085130896 -0.098647054 0.081545624
#> [161] -0.054571607 0.020975973 0.032284187 0.020975973 0.081545624
#> [166] 0.052023464 -0.002190829 -0.013361825 -0.042302052 0.115879833
#> [171] -0.118342807 -0.131820361 -0.013935643 0.240898860 0.115327692
#> [176] 0.257637143 -0.012743113 -0.128906228 -0.107620468 0.039622191
#> [181] 0.227161684 -0.174487527 -0.070071456 -0.153435176 0.210002364
#> [186] -0.047173610 -0.010399848 -0.077471769 -0.147330450 -0.081079436
#> [191] -0.101477375 -0.081079436 -0.046572305 -0.101477375 -0.101477375
#> [196] 0.051590350 -0.050704420 0.035096713 -0.101477375 0.213563182