Baytour and CBS Analyses
Nardeen Yalda
2024-04-01
Matching CBS Ids for Nick’s Data
## Number of removed participant rows in D4dat_O_grouping: 1## Number of removed participant rows in D4dat_grouping: 6Matching CBS-IDs to All Steph’s Participants (Sleep/Control)
## Number of removed participant rows in D4_data_wide: 16Correlation for All Participants (Nick - old + young, Steph - Sleep + Wake) with Select CBS Variables
## Sample Size: 145
Correlation for All Participants (Nick - Young + Old, Steph - Sleep + Wake) with all CBS Variables
## Sample Size: 145
Correlation for Nick’s Entire Sample
## Sample Size: 84
Correlation for Nick’s Old
## Sample Size: 37
Correlation for Nick’s Young
## Sample Size: 47
Correlation for Steph’s Entire Sample
## Sample Size: 61
Correlation for Steph - Sleep including PSG Data
## Sample Size: 33
Correlation for Steph - Wake
## Sample Size: 28
Correlation for Sleep Only (Nick - Old + Young, Steph - sleep only)
## Sample Size: 117
Scatterplot Det Difference Score (Time 2 - 1) Vs. CBS-GR
Note that “sleep” refers to Steph’s sleep group while young and old are Nick’s samples.
Scatterplot Det Difference Score (Time 2 - 1) Vs. CBS-OO
Scatterplot Det Difference Score (Time 2 - 1) Vs. CBS-RO
Scatterplot Det Difference Score (Time 2 - 1) Vs. CBS-PA
Scatterplot Seq Difference Score (Time 2 - 1) Vs. CBS-GR
Scatterplot Seq Difference Score (Time 2 - 1) Vs. CBS-OO
Scatterplot Seq Difference Score (Time 2 - 1) Vs. CBS-RO
Scatterplot Seq Difference Score (Time 2 - 1) Vs. CBS-PA
CBS Histograms
Multiple Linear Regression for CBS and Sequence Details
The following linear regression is performed for Nick’s young participants and all of Steph’s participants and considers whether the 4 CBS variables predict the sequence difference scores for 3 time points
## Response Seq_difference_score_time2_time1 :
##
## Call:
## lm(formula = Seq_difference_score_time2_time1 ~ final_score_raw_gr +
## final_score_raw_oo + correct_answers_oo + errors_made_oo +
## final_score_raw_ro + avg_score_raw_pa, data = regression_data)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.19848 -0.05620 -0.01025 0.06349 0.25123
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.005e-02 9.585e-02 0.209 0.835
## final_score_raw_gr 3.420e-03 2.311e-03 1.480 0.142
## final_score_raw_oo 4.741e-03 3.026e-02 0.157 0.876
## correct_answers_oo -1.055e-02 3.042e-02 -0.347 0.729
## errors_made_oo 7.580e-03 2.998e-02 0.253 0.801
## final_score_raw_ro -8.130e-06 3.405e-04 -0.024 0.981
## avg_score_raw_pa 4.330e-03 1.833e-02 0.236 0.814
##
## Residual standard error: 0.09791 on 95 degrees of freedom
## (6 observations deleted due to missingness)
## Multiple R-squared: 0.04644, Adjusted R-squared: -0.01378
## F-statistic: 0.7711 on 6 and 95 DF, p-value: 0.5945
##
##
## Response Seq_difference_score_time3_time2 :
##
## Call:
## lm(formula = Seq_difference_score_time3_time2 ~ final_score_raw_gr +
## final_score_raw_oo + correct_answers_oo + errors_made_oo +
## final_score_raw_ro + avg_score_raw_pa, data = regression_data)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.189430 -0.061716 -0.008552 0.076626 0.194044
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) -0.1133007 0.0928966 -1.220 0.2256
## final_score_raw_gr -0.0054658 0.0022394 -2.441 0.0165 *
## final_score_raw_oo -0.0622652 0.0293294 -2.123 0.0364 *
## correct_answers_oo 0.0669727 0.0294869 2.271 0.0254 *
## errors_made_oo -0.0606107 0.0290530 -2.086 0.0396 *
## final_score_raw_ro -0.0000418 0.0003300 -0.127 0.8995
## avg_score_raw_pa 0.0306621 0.0177611 1.726 0.0875 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.0949 on 95 degrees of freedom
## (6 observations deleted due to missingness)
## Multiple R-squared: 0.1002, Adjusted R-squared: 0.04335
## F-statistic: 1.763 on 6 and 95 DF, p-value: 0.1151
##
##
## Response Seq_difference_score_time3_time1 :
##
## Call:
## lm(formula = Seq_difference_score_time3_time1 ~ final_score_raw_gr +
## final_score_raw_oo + correct_answers_oo + errors_made_oo +
## final_score_raw_ro + avg_score_raw_pa, data = regression_data)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.254003 -0.065127 0.004668 0.065755 0.295938
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) -9.325e-02 1.027e-01 -0.908 0.3662
## final_score_raw_gr -2.046e-03 2.476e-03 -0.826 0.4107
## final_score_raw_oo -5.752e-02 3.243e-02 -1.774 0.0793 .
## correct_answers_oo 5.642e-02 3.260e-02 1.731 0.0868 .
## errors_made_oo -5.303e-02 3.212e-02 -1.651 0.1021
## final_score_raw_ro -4.993e-05 3.648e-04 -0.137 0.8914
## avg_score_raw_pa 3.499e-02 1.964e-02 1.782 0.0780 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.1049 on 95 degrees of freedom
## (6 observations deleted due to missingness)
## Multiple R-squared: 0.0702, Adjusted R-squared: 0.01147
## F-statistic: 1.195 on 6 and 95 DF, p-value: 0.3155Multiple Linear Regression for CBS and Spindles
The following linear regression is performed for Steph’s sleep participants only and considers whether the 4 CBS variables predict the spindle variables for three timepoints
## Response avg_spindle_count :
##
## Call:
## lm(formula = avg_spindle_count ~ final_score_raw_gr + final_score_raw_oo +
## correct_answers_oo + errors_made_oo + final_score_raw_ro +
## avg_score_raw_pa, data = regression_data)
##
## Residuals:
## Min 1Q Median 3Q Max
## -405.04 -125.74 14.09 104.08 424.48
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 1461.079 551.762 2.648 0.0150 *
## final_score_raw_gr 8.055 11.240 0.717 0.4815
## final_score_raw_oo -169.063 95.181 -1.776 0.0902 .
## correct_answers_oo 174.884 106.146 1.648 0.1143
## errors_made_oo -157.494 95.435 -1.650 0.1138
## final_score_raw_ro -3.039 2.028 -1.499 0.1488
## avg_score_raw_pa -9.811 80.969 -0.121 0.9047
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 230.3 on 21 degrees of freedom
## (5 observations deleted due to missingness)
## Multiple R-squared: 0.3264, Adjusted R-squared: 0.134
## F-statistic: 1.696 on 6 and 21 DF, p-value: 0.1713
##
##
## Response avg_spindle_count_N2 :
##
## Call:
## lm(formula = avg_spindle_count_N2 ~ final_score_raw_gr + final_score_raw_oo +
## correct_answers_oo + errors_made_oo + final_score_raw_ro +
## avg_score_raw_pa, data = regression_data)
##
## Residuals:
## Min 1Q Median 3Q Max
## -372.37 -94.94 1.35 110.32 529.16
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 958.889 563.532 1.702 0.1036
## final_score_raw_gr 0.714 11.480 0.062 0.9510
## final_score_raw_oo -115.162 97.212 -1.185 0.2494
## correct_answers_oo 119.933 108.410 1.106 0.2811
## errors_made_oo -112.749 97.471 -1.157 0.2604
## final_score_raw_ro -4.239 2.071 -2.046 0.0534 .
## avg_score_raw_pa 84.570 82.697 1.023 0.3181
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 235.2 on 21 degrees of freedom
## (5 observations deleted due to missingness)
## Multiple R-squared: 0.2849, Adjusted R-squared: 0.08053
## F-statistic: 1.394 on 6 and 21 DF, p-value: 0.2631
##
##
## Response avg_spindle_count_N3 :
##
## Call:
## lm(formula = avg_spindle_count_N3 ~ final_score_raw_gr + final_score_raw_oo +
## correct_answers_oo + errors_made_oo + final_score_raw_ro +
## avg_score_raw_pa, data = regression_data)
##
## Residuals:
## Min 1Q Median 3Q Max
## -333.61 -118.97 1.43 111.11 397.34
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 502.190 456.469 1.100 0.284
## final_score_raw_gr 7.341 9.299 0.789 0.439
## final_score_raw_oo -53.901 78.743 -0.685 0.501
## correct_answers_oo 54.951 87.814 0.626 0.538
## errors_made_oo -44.745 78.953 -0.567 0.577
## final_score_raw_ro 1.199 1.678 0.715 0.483
## avg_score_raw_pa -94.381 66.985 -1.409 0.173
##
## Residual standard error: 190.5 on 21 degrees of freedom
## (5 observations deleted due to missingness)
## Multiple R-squared: 0.174, Adjusted R-squared: -0.062
## F-statistic: 0.7373 on 6 and 21 DF, p-value: 0.6255
##
##
## Response fixed_avg_coupled_spindles :
##
## Call:
## lm(formula = fixed_avg_coupled_spindles ~ final_score_raw_gr +
## final_score_raw_oo + correct_answers_oo + errors_made_oo +
## final_score_raw_ro + avg_score_raw_pa, data = regression_data)
##
## Residuals:
## Min 1Q Median 3Q Max
## -233.365 -88.990 6.224 103.690 209.058
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 686.585 343.666 1.998 0.0589 .
## final_score_raw_gr 5.114 7.001 0.730 0.4732
## final_score_raw_oo -6.123 59.284 -0.103 0.9187
## correct_answers_oo -14.741 66.113 -0.223 0.8257
## errors_made_oo 6.046 59.442 0.102 0.9200
## final_score_raw_ro 1.644 1.263 1.301 0.2073
## avg_score_raw_pa -47.364 50.432 -0.939 0.3583
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 143.4 on 21 degrees of freedom
## (5 observations deleted due to missingness)
## Multiple R-squared: 0.162, Adjusted R-squared: -0.07738
## F-statistic: 0.6768 on 6 and 21 DF, p-value: 0.6698
##
##
## Response fixed_avg_uncoupled_spindles :
##
## Call:
## lm(formula = fixed_avg_uncoupled_spindles ~ final_score_raw_gr +
## final_score_raw_oo + correct_answers_oo + errors_made_oo +
## final_score_raw_ro + avg_score_raw_pa, data = regression_data)
##
## Residuals:
## Min 1Q Median 3Q Max
## -171.34 -91.00 -26.80 68.63 263.78
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 290.183 323.097 0.898 0.3793
## final_score_raw_gr 2.586 6.582 0.393 0.6984
## final_score_raw_oo -101.903 55.736 -1.828 0.0817 .
## correct_answers_oo 125.447 62.156 2.018 0.0565 .
## errors_made_oo -104.912 55.884 -1.877 0.0744 .
## final_score_raw_ro -2.499 1.188 -2.104 0.0476 *
## avg_score_raw_pa 2.505 47.414 0.053 0.9584
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 134.8 on 21 degrees of freedom
## (5 observations deleted due to missingness)
## Multiple R-squared: 0.3534, Adjusted R-squared: 0.1687
## F-statistic: 1.913 on 6 and 21 DF, p-value: 0.1258
##
##
## Response fixed_avg_coupled_spindles_percent :
##
## Call:
## lm(formula = fixed_avg_coupled_spindles_percent ~ final_score_raw_gr +
## final_score_raw_oo + correct_answers_oo + errors_made_oo +
## final_score_raw_ro + avg_score_raw_pa, data = regression_data)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.17806 -0.05752 -0.01996 0.07842 0.16315
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.8374693 0.2362109 3.545 0.00192 **
## final_score_raw_gr 0.0026283 0.0048120 0.546 0.59069
## final_score_raw_oo 0.0275334 0.0407474 0.676 0.50660
## correct_answers_oo -0.0527991 0.0454413 -1.162 0.25830
## errors_made_oo 0.0344075 0.0408559 0.842 0.40918
## final_score_raw_ro 0.0015913 0.0008682 1.833 0.08105 .
## avg_score_raw_pa -0.0207339 0.0346632 -0.598 0.55613
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.09858 on 21 degrees of freedom
## (5 observations deleted due to missingness)
## Multiple R-squared: 0.2172, Adjusted R-squared: -0.006494
## F-statistic: 0.971 on 6 and 21 DF, p-value: 0.4686