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Discrepancies in stern input #2

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andkov opened this issue Mar 3, 2017 · 0 comments
Open

Discrepancies in stern input #2

andkov opened this issue Mar 3, 2017 · 0 comments

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@andkov
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andkov commented Mar 3, 2017

@josephmbaker

when importing stern glm files, I have noticed that the number of conditions in table of localized sources is greater than the columns in the tables for beta, T, and P. Is is possible to adjust the MatLab files to preserve all the output, not just the 4 columns you've selected?

Contents of the crNirs_glm_stern_056_63_m_f1.mat file.

$channel
# A tibble: 18 × 6
   encodingVrecall encodingVmaint maintVrecall encodingVrest maintVrest recallVrest
             <dbl>          <dbl>        <dbl>         <dbl>      <dbl>       <dbl>
1       -6.3745003     -2.2329059   -4.1415944     1.9472853  4.1801911    8.321786
2       -9.3194689     -4.0874266   -5.2320423     4.3955954  8.4830220   13.715064
3       -0.6967779     -7.8238038    7.1270258    -1.7678509  6.0559529   -1.071073
4       -5.6099800     -3.1332660   -2.4767141     0.5836993  3.7169652    6.193679
5       -2.1247802     -0.7046083   -1.4201719     1.5052224  2.2098308    3.630003
6      -11.0116123     -5.7032874   -5.3083249     2.6153204  8.3186079   13.626933
7       -8.2043858     -3.7027422   -4.5016437     4.0629544  7.7656966   12.267340
8       -5.2053047      2.3324813   -7.5377860     7.4435122  5.1110308   12.648817
9       -4.5773810     -0.4218468   -4.1555342     3.3781912  3.8000380    7.955572
10      -7.4830078    -15.0745487    7.5915409   -10.2772316  4.7973171   -2.794224
11       1.0899530     -0.5525316    1.6424845     2.8226929  3.3752244    1.732740
12       4.8354596     11.8800599   -7.0446003     9.2731324 -2.6069275    4.437673
13      -3.7825795      2.9488500   -6.7314295    10.9006043  7.9517542   14.683184
14       7.1711889      3.7118188    3.4593700     3.1402980 -0.5715208   -4.030891
15      -2.9919761      1.3366427   -4.3286187    11.0787377  9.7420950   14.070714
16      -1.0660461     -0.3315746   -0.7344715     2.6149940  2.9465686    3.681040
17      -4.8965793     -1.2939868   -3.6025925     5.0799273  6.3739141    9.976507
18      -5.3740427      2.7390671   -8.1131098     6.2635213  3.5244542   11.637564

$source
# A tibble: 8 × 6
  encodingVrecall encodingVmaint maintVrecall encodingVrest maintVrest recallVrest
            <dbl>          <dbl>        <dbl>         <dbl>      <dbl>       <dbl>
1      -6.3745003     -2.2329059   -4.1415944      1.947285   4.180191    8.321786
2      -0.6967779     -4.0874266    7.1270258      4.395595   8.483022   13.715064
3      -2.1247802     -0.7046083   -1.4201719      1.505222   3.716965    6.193679
4      -4.5773810      2.3324813   -4.1555342      7.443512   8.318608   13.626933
5       4.8354596     11.8800599    7.5915409     10.900604   7.951754   14.683184
6       7.1711889      3.7118188    3.4593700     11.078738   9.742095   14.070714
7      -1.0660461     -0.3315746   -0.7344715      5.079927   6.373914    9.976507
8      -5.3740427      2.7390671   -8.1131098      6.263521   3.524454   11.637564

$beta
               [,1]          [,2]          [,3]          [,4]
 [1,] -2.163829e-08  5.662717e-08  2.168105e-07 -1.139184e-07
 [2,]  1.529199e-07  2.050399e-07  4.747477e-07 -1.623412e-07
 [3,]  1.393715e-07  2.927980e-07  9.379963e-08  1.898795e-07
 [4,] -3.143316e-08  1.050153e-07  2.415113e-07 -5.989277e-08
 [5,] -4.332404e-07 -1.051292e-07  3.960248e-08 -5.543862e-07
 [6,] -3.795128e-08  1.473864e-07  3.644003e-07 -1.558481e-07
 [7,]  8.080964e-09  1.387135e-07  3.701588e-07 -2.525529e-07
 [8,]  1.094249e-07 -4.187628e-08  2.866658e-07 -3.987402e-07
 [9,]  9.170072e-09  2.059086e-08  2.284632e-07 -2.289486e-07
[10,] -4.562272e-07  1.517554e-07 -2.027916e-08  7.876104e-08
[11,]  3.228236e-07  1.445333e-07  1.207259e-07  8.836687e-08
[12,]  5.573131e-07 -1.366597e-07  9.349715e-08 -1.002496e-07
[13,]  4.388906e-07  8.821143e-08  3.511272e-07 -2.563088e-07
[14,]  5.546272e-07  1.073218e-07  5.672458e-10  2.170397e-07
[15,]  4.379614e-07  1.412546e-07  3.067612e-07 -1.854178e-07
[16,] -5.999225e-08 -1.083986e-08  2.236694e-08 -2.220870e-07
[17,]  9.415446e-08  6.708290e-08  1.816917e-07 -1.349978e-07
[18,]  1.998455e-07 -7.844816e-09  3.077939e-07 -2.098864e-07

$tval
             [,1]       [,2]        [,3]       [,4]
 [1,] -0.29618985  1.9367160  6.07831044 -2.2434751
 [2,]  1.73919663  5.8266233 11.05866553 -2.6563988
 [3,]  1.84126784  9.6650716  2.53804578  3.6091187
 [4,] -0.33519683  2.7980691  5.27478320 -0.9188961
 [5,] -1.78971283 -1.0851045  0.33506735 -3.2949353
 [6,] -0.53284700  5.1704404 10.47876531 -3.1481674
 [7,]  0.08839340  3.7911356  8.29277923 -3.9745610
 [8,]  1.19235697 -1.1401244  6.39766169 -6.2511552
 [9,]  0.09149846  0.5133452  4.66887945 -3.2866928
[10,] -8.23247833  6.8420703 -0.74947054  2.0447533
[11,]  4.65657095  5.2091025  3.56661796  1.8338781
[12,]  7.36664704 -4.5134128  2.53118745 -1.9064853
[13,]  5.92356905  2.9747190  9.70614853 -4.9770352
[14,]  7.18624200  3.4744232  0.01505314  4.0459440
[15,]  6.88501006  5.5483674  9.87698612 -4.1937276
[16,] -0.60447114 -0.2728965  0.46157497 -3.2194651
[17,]  1.65856643  2.9525532  6.55514577 -3.4213609
[18,]  2.49441386 -0.2446532  7.86845658 -3.7691074

$pval
              [,1]         [,2]         [,3]         [,4]
 [1,] 7.671660e-01 5.315041e-02 1.920935e-09 2.515346e-02
 [2,] 8.240507e-02 8.352103e-09 1.832767e-26 8.063661e-03
 [3,] 6.597188e-02 6.394053e-21 1.134593e-02 3.273747e-04
 [4,] 7.375691e-01 5.271035e-03 1.734727e-07 3.584414e-01
 [5,] 7.389812e-02 2.782194e-01 7.376667e-01 1.030079e-03
 [6,] 5.942953e-01 2.989029e-07 4.323800e-24 1.707183e-03
 [7,] 9.295873e-01 1.618444e-04 5.012116e-16 7.722955e-05
 [8,] 2.334935e-01 2.545937e-01 2.756619e-10 6.788397e-10
 [9,] 9.271206e-01 6.078590e-01 3.579911e-06 1.060265e-03
[10,] 7.968775e-16 1.607170e-11 4.538056e-01 4.122319e-02
[11,] 3.794298e-06 2.445977e-07 3.842653e-04 6.706296e-02
[12,] 4.565912e-13 7.390218e-06 1.156828e-02 5.696415e-02
[13,] 4.771916e-09 3.025455e-03 4.470667e-21 7.992031e-07
[14,] 1.592900e-12 5.409638e-04 9.879937e-01 5.744031e-05
[15,] 1.210832e-11 3.983504e-08 9.970202e-22 3.067503e-05
[16,] 5.457109e-01 7.850069e-01 6.445182e-01 1.338873e-03
[17,] 9.761580e-02 3.248687e-03 1.025746e-10 6.563880e-04
[18,] 1.282786e-02 8.067910e-01 1.234807e-14 1.765258e-04
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