This is a document containing most of the summarative/inferential statistics and graphics for experiment 4 of P032a–the insight experiment. It has been written in a R markdown document and knitted into a html document. It also can be converted into a neat .pdf using LaTex libraries.

Experiment 1 - Pre-training & Training of Directional Movement

Phases 1A & 1B

1A was a fixed position pacman requiring a single peck; 1B was a variable position. Phases were combined for concision’s sake.

Phase 1A & 1B Information

1A Info
Subject NumSessions
Athena 6
Bowser 5
Darwin 6
Estelle 6
Herriot 6
Mario 2
Wario 6
Yoshi 3
1B Info
Subject NumSessions
Athena 6
Bowser 6
Darwin 4
Estelle 6
Herriot 6
Mario 3
Wario 6
Yoshi 3

1A & 1B Pecking accuracy

1A & 1B First Session Pecking Accuracy
Subject PeckingAccuracy SessionNum MeanofAccuracy SDofAccuracy
Athena 0.2008032 1 0.1653119 0.190109
Bowser 0.0000000 1 0.1653119 0.190109
Darwin 0.0329598 1 0.1653119 0.190109
Estelle 0.5376344 1 0.1653119 0.190109
Herriot 0.0102041 1 0.1653119 0.190109
Mario 0.0597976 1 0.1653119 0.190109
Wario 0.3448276 1 0.1653119 0.190109
Yoshi 0.1362683 1 0.1653119 0.190109
1A & 1B Terminal SessionPecking Accuracy
Subject PeckingAccuracy SessionNum MeanofAccuracy SDofAccuracy
Athena 0.2876106 12 0.2459685 0.1190898
Bowser 0.1752022 8 0.2459685 0.1190898
Darwin 0.1533019 10 0.2459685 0.1190898
Estelle 0.2210884 12 0.2459685 0.1190898
Herriot 0.4452055 11 0.2459685 0.1190898
Mario 0.2166667 5 0.2459685 0.1190898
Wario 0.3801170 12 0.2459685 0.1190898
Yoshi 0.0885559 6 0.2459685 0.1190898 
## 
## Call:
## glm(formula = PeckingAccuracy ~ SessionNum, data = .)
## 
## Coefficients:
##              Estimate Std. Error t value Pr(>|t|)    
## (Intercept) 0.0651088  0.0014490   44.93   <2e-16 ***
## SessionNum  0.0127145  0.0002494   50.98   <2e-16 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for gaussian family taken to be 0.01646209)
## 
##     Null deviance: 506.86  on 28192  degrees of freedom
## Residual deviance: 464.08  on 28191  degrees of freedom
## AIC: -35768
## 
## Number of Fisher Scoring iterations: 2
### 1A & 1B Trial Latency
1A & 1B First Session Trial Latencies
Subject SessionNum MeanTrialLatency GroupMeanTrialLatency sdMeanTrialLatency
Athena 1 2.822449 25.78099 58.06994
Bowser 1 1.883674 25.78099 58.06994
Darwin 1 14.359184 25.78099 58.06994
Estelle 1 1.571429 25.78099 58.06994
Herriot 1 169.050000 25.78099 58.06994
Mario 1 9.584375 25.78099 58.06994
Wario 1 5.467347 25.78099 58.06994
Yoshi 1 1.509484 25.78099 58.06994
1A & 1B First Session Trial Latencies
Subject SessionNum MeanTrialLatency GroupMeanTrialLatency sdMeanTrialLatency
Athena 11 1.989062 3.926687 2.377927
Bowser 7 1.407812 3.926687 2.377927
Darwin 10 3.367188 3.926687 2.377927
Estelle 12 6.500000 3.926687 2.377927
Herriot 10 1.292875 3.926687 2.377927
Mario 5 5.167187 3.926687 2.377927
Wario 12 7.676953 3.926687 2.377927
Yoshi 6 4.012422 3.926687 2.377927

No effect of the linear GLM across both 1A and 1B combined trial latency b/c of the multi-modal distribution (specifically a peak at the start of 1B)

## 
## Call:
## glm(formula = MeanTrialLatency ~ SessionNum, data = .)
## 
## Coefficients:
##             Estimate Std. Error t value Pr(>|t|)  
## (Intercept)  16.7729     7.1615   2.342    0.022 *
## SessionNum   -0.7348     1.1457  -0.641    0.523  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for gaussian family taken to be 933.7529)
## 
##     Null deviance: 65747  on 71  degrees of freedom
## Residual deviance: 65363  on 70  degrees of freedom
##   (1 observation deleted due to missingness)
## AIC: 700.72
## 
## Number of Fisher Scoring iterations: 2

## Warning: Removed 15 rows containing non-finite values (`stat_ydensity()`).

## Warning: Removed 1 row containing missing values (`geom_line()`).

## Warning: Removed 16 rows containing non-finite values (`stat_ydensity()`).

Phases 1C & 1D

1C introduced a single cursor (no banana); 1D had four cursor options

Phase 1C & 1D Information

1C Info
Subject NumSessions
Athena 11
Yoshi 10
Herriot 10
Wario 11
Mario 9
Bowser 11
Estelle 11
Darwin 11
1D Info
Subject NumSessions
Athena 5
Herriot 5
Wario 5
Yoshi 5
Mario 5
Bowser 5
Estelle 5
Darwin 5

Phase 1C Trial Latency

1C First Session Trial Latencies
Subject SessionNum MeanLatency GroupMeanLatency sdGroupLatency
Athena 1 -6.313823 secs 27.61323 secs 20.42041
Mario 1 50.585714 secs 27.61323 secs 20.42041
Wario 1 47.689500 secs 27.61323 secs 20.42041
Estelle 1 38.120000 secs 27.61323 secs 20.42041
Darwin 1 31.442857 secs 27.61323 secs 20.42041
Bowser 1 12.728125 secs 27.61323 secs 20.42041
Yoshi 1 19.040219 secs 27.61323 secs 20.42041
1C First Session Trial Latencies
Subject SessionNum MeanLatency GroupMeanLatency sdGroupLatency
Mario 8 12.426562 7.230602 3.012978
Darwin 11 10.679688 7.230602 3.012978
Herriot 10 4.221578 7.230602 3.012978
Estelle 11 7.770313 7.230602 3.012978
Wario 11 7.420922 7.230602 3.012978
Bowser 11 5.876563 7.230602 3.012978
Yoshi 10 5.386687 7.230602 3.012978
Athena 11 4.062500 7.230602 3.012978 
## 
## Call:
## glm(formula = MeanTrialLatency ~ SessionNum, data = .)
## 
## Coefficients:
##             Estimate Std. Error t value Pr(>|t|)    
## (Intercept)   67.313     11.020   6.108 3.57e-08 ***
## SessionNum    -6.693      1.686  -3.969 0.000158 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for gaussian family taken to be 2179.962)
## 
##     Null deviance: 206552  on 80  degrees of freedom
## Residual deviance: 172217  on 79  degrees of freedom
##   (2 observations deleted due to missingness)
## AIC: 856.5
## 
## Number of Fisher Scoring iterations: 2

Phase 1D Trial Latency

1D First Session Trial Latencies
Subject SessionNum MeanLatency GroupMeanLatency sdGroupLatency
Athena 1 4.682812 8.902299 9.363854
Yoshi 1 3.628891 8.902299 9.363854
Wario 1 3.266781 8.902299 9.363854
Estelle 1 31.350000 8.902299 9.363854
Mario 1 8.998437 8.902299 9.363854
Herriot 1 4.774281 8.902299 9.363854
Bowser 1 5.017188 8.902299 9.363854
Darwin 1 9.500000 8.902299 9.363854
1D First Session Trial Latencies
Subject SessionNum MeanLatency GroupMeanLatency sdGroupLatency
Herriot 5 5.352625 5.859545 1.629457
Yoshi 5 3.674297 5.859545 1.629457
Athena 5 4.176563 5.859545 1.629457
Bowser 4 7.812500 5.859545 1.629457
Wario 5 4.855688 5.859545 1.629457
Estelle 5 7.409375 5.859545 1.629457
Darwin 5 5.865625 5.859545 1.629457
Mario 5 7.729687 5.859545 1.629457 
## 
## Call:
## glm(formula = MeanTrialLatency ~ SessionNum, data = .)
## 
## Coefficients:
##             Estimate Std. Error t value Pr(>|t|)
## (Intercept)   7.6888     4.6259   1.662    0.105
## SessionNum    0.4172     1.4181   0.294    0.770
## 
## (Dispersion parameter for gaussian family taken to be 152.6287)
## 
##     Null deviance: 5660.5  on 38  degrees of freedom
## Residual deviance: 5647.3  on 37  degrees of freedom
## AIC: 310.72
## 
## Number of Fisher Scoring iterations: 2

## Warning: Removed 16 rows containing non-finite values (`stat_ydensity()`).

Phases 1E, 1F, 1F.Test, 1G, 1H, & 1H.Test

1E - Single cursor, one-move banana (no wrong choices)
1F - Multi cursor, one-move banana (punished choices)
1F.Test - Multi cursor, one-move banana (open task)
1G - Single cursor, two-move banana (no wrong choices)
1H - Multi cursor, two-move banana (punished choices)
1H.Test - Multi cursor, two-move banana (open task)

Phase 1E

Trial Latency only
1E Info
Subject NumSessions
Athena 7
Bowser 7
Darwin 7
Estelle 7
Herriot 6
Mario 8
Wario 7
Yoshi 7
1E First Session Trial Latencies
Subject SessionNum MeanLatency GroupMeanLatency sdGroupLatency
Athena 1 8.471875 10.83108 7.174714
Bowser 1 16.028125 10.83108 7.174714
Darwin 1 8.789062 10.83108 7.174714
Estelle 1 9.839063 10.83108 7.174714
Herriot 1 5.958016 10.83108 7.174714
Mario 1 26.405405 10.83108 7.174714
Wario 1 6.327422 10.83108 7.174714
Yoshi 1 4.829641 10.83108 7.174714
1E Terminal Session Trial Latencies
Subject SessionNum MeanLatency GroupMeanLatency sdGroupLatency
Athena 7 5.389062 5.890984 0.8899347
Bowser 6 6.229687 5.890984 0.8899347
Darwin 7 7.376563 5.890984 0.8899347
Estelle 7 6.609375 5.890984 0.8899347
Herriot 6 5.638000 5.890984 0.8899347
Mario 4 NaN 5.890984 0.8899347
Wario 7 4.987734 5.890984 0.8899347
Yoshi 7 5.006469 5.890984 0.8899347 
## 
## Call:
## glm(formula = MeanTrialLatency ~ SessionNum, data = .)
## 
## Coefficients:
##             Estimate Std. Error t value Pr(>|t|)    
## (Intercept)  10.8905     1.2485   8.723 2.17e-11 ***
## SessionNum   -0.8187     0.2926  -2.798  0.00744 ** 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for gaussian family taken to be 15.92371)
## 
##     Null deviance: 873.06  on 48  degrees of freedom
## Residual deviance: 748.41  on 47  degrees of freedom
##   (2 observations deleted due to missingness)
## AIC: 278.64
## 
## Number of Fisher Scoring iterations: 2
## Warning: Removed 1 row containing missing values (`geom_line()`).

## Warning: Removed 16 rows containing non-finite values (`stat_ydensity()`).
### Phase 1F
1F Info
Subject NumSessions
Athena 6
Bowser 6
Darwin 6
Estelle 6
Herriot 4
Wario 6
Yoshi 6

Phase 1F Accuracy

1F First Session Accuracy
Subject SessionNum SessionAccuracy MeanSessionAccuracy sdSessionAccuracy
Athena 1 0.5000000 0.3989011 0.0650335
Bowser 1 0.4307692 0.3989011 0.0650335
Darwin 1 0.3692308 0.3989011 0.0650335
Estelle 1 0.3692308 0.3989011 0.0650335
Herriot 1 0.2923077 0.3989011 0.0650335
Wario 1 0.4307692 0.3989011 0.0650335
Yoshi 1 0.4000000 0.3989011 0.0650335
1F Terminal Session Accuracy
Subject SessionNum SessionAccuracy MeanSessionAccuracy sdSessionAccuracy
Athena 6 1.0000000 0.6457086 0.1770367
Bowser 6 0.6410256 0.6457086 0.1770367
Darwin 6 0.6355932 0.6457086 0.1770367
Estelle 6 0.5597015 0.6457086 0.1770367
Herriot 4 0.4120879 0.6457086 0.1770367
Wario 6 0.6250000 0.6457086 0.1770367
Yoshi 6 0.6465517 0.6457086 0.1770367 
## 
## Call:
## glm(formula = SessionAccuracy ~ SessionNum, data = .)
## 
## Coefficients:
##             Estimate Std. Error t value Pr(>|t|)    
## (Intercept)  0.31720    0.05287   6.000 5.69e-07 ***
## SessionNum   0.05617    0.01393   4.032 0.000257 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for gaussian family taken to be 0.02204881)
## 
##     Null deviance: 1.19631  on 39  degrees of freedom
## Residual deviance: 0.83785  on 38  degrees of freedom
## AIC: -35.117
## 
## Number of Fisher Scoring iterations: 2

## 
##  One Sample t-test
## 
## data:  .
## t = 4.4193, df = 6, p-value = 0.004475
## alternative hypothesis: true mean is not equal to 0.35
## 95 percent confidence interval:
##  0.4819769 0.8094403
## sample estimates:
## mean of x 
## 0.6457086

Phase 1F Trial Latency

1F First Session Trial Latencies
Subject SessionNum MeanLatency GroupMeanLatency sdGroupLatency
Athena 1 37.26667 37.65633 7.487293
Bowser 1 36.00370 37.65633 7.487293
Darwin 1 43.36957 37.65633 7.487293
Estelle 1 40.92174 37.65633 7.487293
Herriot 1 48.67150 37.65633 7.487293
Wario 1 26.71737 37.65633 7.487293
Yoshi 1 30.64380 37.65633 7.487293
1F Terminal Session Trial Latencies
Subject SessionNum MeanLatency GroupMeanLatency sdGroupLatency
Athena 5 16.40000 20.71625 7.530634
Bowser 6 16.84459 20.71625 7.530634
Darwin 6 18.99189 20.71625 7.530634
Estelle 6 30.95541 20.71625 7.530634
Herriot 4 32.10628 20.71625 7.530634
Wario 6 14.38180 20.71625 7.530634
Yoshi 6 15.33377 20.71625 7.530634 
## 
## Call:
## glm(formula = MeanTrialLatency ~ SessionNum, data = .)
## 
## Coefficients:
##             Estimate Std. Error t value Pr(>|t|)
## (Intercept)   175.99     176.86   0.995    0.326
## SessionNum    -15.50      47.63  -0.325    0.747
## 
## (Dispersion parameter for gaussian family taken to be 240922.6)
## 
##     Null deviance: 8698735  on 37  degrees of freedom
## Residual deviance: 8673213  on 36  degrees of freedom
##   (1 observation deleted due to missingness)
## AIC: 582.69
## 
## Number of Fisher Scoring iterations: 2

Phase 1F.Test

1F.Test Info
Subject NumSessions
Athena 2
Bowser 2
Darwin 2
Estelle 2
Herriot 6
Wario 4
Yoshi 4
1F.Test SAP
Subject MeanSAP sdSAP GroupMeanSAP GroupsdSAP
Athena 0.000000 0.000000 2.369394 2.195533
Bowser 3.023256 9.258353 2.369394 2.195533
Darwin 4.895833 17.502769 2.369394 2.195533
Estelle 5.666667 11.415728 2.369394 2.195533
Herriot 1.000000 0.000000 2.369394 2.195533
Wario 1.000000 0.000000 2.369394 2.195533
Yoshi 1.000000 0.000000 2.369394 2.195533 
## 
## Call:
## glm(formula = SAP ~ SessionNum, data = .)
## 
## Coefficients:
##             Estimate Std. Error t value Pr(>|t|)    
## (Intercept)   2.5625     0.3585   7.147 1.55e-12 ***
## SessionNum   -0.3790     0.1186  -3.195  0.00144 ** 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for gaussian family taken to be 34.71603)
## 
##     Null deviance: 41354  on 1182  degrees of freedom
## Residual deviance: 41000  on 1181  degrees of freedom
## AIC: 7557.5
## 
## Number of Fisher Scoring iterations: 2

## Rows: 39888 Columns: 11
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## chr (2): EventType, TrainingPhase
## dbl (9): PacmanGridXCord, PacmanGridYCord, GoalGridXCord, GoalGridYCord, Tri...
## 
## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.

Phase 1G

Trial Latency only
1G Info
Subject NumSessions
Bowser 2
Herriot 6
Wario 5
Yoshi 5
1G First Session Trial Latencies
Subject SessionNum MeanLatency GroupMeanLatency sdGroupLatency
Bowser 1 32.56308 44.99584 21.42919
Herriot 1 59.21878 44.99584 21.42919
Wario 1 21.52684 44.99584 21.42919
Yoshi 1 66.67465 44.99584 21.42919
1G Terminal Session Trial Latencies
Subject SessionNum MeanLatency GroupMeanLatency sdGroupLatency
Bowser 1 32.56308 27.11404 11.64821
Herriot 6 40.80502 27.11404 11.64821
Wario 5 15.70862 27.11404 11.64821
Yoshi 5 19.37946 27.11404 11.64821 
## 
## Call:
## glm(formula = MeanTrialLatency ~ SessionNum, data = .)
## 
## Coefficients:
##             Estimate Std. Error t value Pr(>|t|)    
## (Intercept)   41.322      7.844   5.268 9.47e-05 ***
## SessionNum    -3.642      2.276  -1.600     0.13    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for gaussian family taken to be 222.3611)
## 
##     Null deviance: 3904.9  on 16  degrees of freedom
## Residual deviance: 3335.4  on 15  degrees of freedom
## AIC: 143.99
## 
## Number of Fisher Scoring iterations: 2

## Warning: Removed 7 rows containing non-finite values (`stat_ydensity()`).
## Warning: Removed 7 rows containing missing values (`geom_point()`).
### Phase 1H
1H Info
Subject NumSessions
Bowser 3
Darwin 9
Estelle 9
Herriot 3

Phase 1H Accuracy

1H First Session Accuracy
Subject SessionNum SessionAccuracy MeanSessionAccuracy sdSessionAccuracy
Bowser 1 0.5769231 0.4933854 0.1772077
Darwin 1 0.5000000 0.4933854 0.1772077
Estelle 1 0.2444444 0.4933854 0.1772077
Herriot 1 0.6521739 0.4933854 0.1772077
1H Terminal Session Accuracy
Subject SessionNum SessionAccuracy MeanSessionAccuracy sdSessionAccuracy
Bowser 3 0.8426966 0.5854101 0.1764911
Darwin 9 0.4408602 0.5854101 0.1764911
Estelle 9 0.5299145 0.5854101 0.1764911
Herriot 3 0.5281690 0.5854101 0.1764911 
## 
## Call:
## glm(formula = SessionAccuracy ~ SessionNum, data = .)
## 
## Coefficients:
##              Estimate Std. Error t value Pr(>|t|)    
## (Intercept)  0.502418   0.062435   8.047 5.35e-08 ***
## SessionNum  -0.009175   0.012508  -0.734    0.471    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for gaussian family taken to be 0.02573551)
## 
##     Null deviance: 0.58003  on 23  degrees of freedom
## Residual deviance: 0.56618  on 22  degrees of freedom
## AIC: -15.816
## 
## Number of Fisher Scoring iterations: 2

## 
##  One Sample t-test
## 
## data:  .
## t = 5.2457, df = 3, p-value = 0.01349
## alternative hypothesis: true mean is not equal to 0.1225
## 95 percent confidence interval:
##  0.3045734 0.8662468
## sample estimates:
## mean of x 
## 0.5854101

Phase 1H Trial Latency

1H First Session Trial Latencies
Subject SessionNum MeanLatency GroupMeanLatency sdGroupLatency
Bowser 1 29.71486 67.40292 54.60505
Darwin 1 62.83857 67.40292 54.60505
Estelle 1 146.02381 67.40292 54.60505
Herriot 1 31.03445 67.40292 54.60505
1H Terminal Session Trial Latencies
Subject SessionNum MeanLatency GroupMeanLatency sdGroupLatency
Bowser 3 23.07838 45.44514 26.703
Darwin 9 83.39675 45.44514 26.703
Estelle 9 43.86198 45.44514 26.703
Herriot 3 31.44345 45.44514 26.703 
## 
## Call:
## glm(formula = MeanTrialLatency ~ SessionNum, data = .)
## 
## Coefficients:
##             Estimate Std. Error t value Pr(>|t|)
## (Intercept)  255.244    230.582   1.107     0.28
## SessionNum     9.458     46.193   0.205     0.84
## 
## (Dispersion parameter for gaussian family taken to be 351016.2)
## 
##     Null deviance: 7737071  on 23  degrees of freedom
## Residual deviance: 7722357  on 22  degrees of freedom
## AIC: 378.47
## 
## Number of Fisher Scoring iterations: 2

Phase 1H.Test

1H.Test Info
Subject NumSessions
Bowser 6
Darwin 12
Estelle 13
Herriot 2
Wario 2
Yoshi 2
1H.Test SAP
Subject MeanSAP sdSAP GroupMeanSAP GroupsdSAP
Bowser 0.9038961 3.776795 4.539305 6.490016
Darwin 0.5095057 2.952143 4.539305 6.490016
Estelle 0.4230769 4.001666 4.539305 6.490016
Herriot 17.0000000 39.496835 4.539305 6.490016
Wario 2.1136364 8.237051 4.539305 6.490016
Yoshi 6.2857143 21.512682 4.539305 6.490016 
## Rows: 66954 Columns: 11
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## chr (2): EventType, TrainingPhase
## dbl (9): PacmanGridXCord, PacmanGridYCord, GoalGridXCord, GoalGridYCord, Tri...
## 
## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.

Phases 1I 1I.Test, & 1J

Phase 1I

1I Info
Subject NumSessions
Bowser 7
Darwin 4
Estelle 5
Herriot 5
Yoshi 1

Phase 1I Accuracy

1I First Session Accuracy
Subject SessionNum SessionAccuracy MeanSessionAccuracy sdSessionAccuracy
Estelle 1 0.5681818 0.655378 0.1233141
Yoshi 1 0.7425743 0.655378 0.1233141
1I Terminal Session Accuracy
Subject SessionNum SessionAccuracy MeanSessionAccuracy sdSessionAccuracy
Darwin 4 0.8620690 0.8023216 0.0844955
Yoshi 1 0.7425743 0.8023216 0.0844955 
## 
## Call:
## glm(formula = SessionAccuracy ~ SessionNum, data = .)
## 
## Coefficients:
##             Estimate Std. Error t value Pr(>|t|)    
## (Intercept)  0.73830    0.06811  10.840 6.14e-11 ***
## SessionNum  -0.01182    0.01632  -0.724    0.476    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for gaussian family taken to be 0.03045592)
## 
##     Null deviance: 0.77736  on 26  degrees of freedom
## Residual deviance: 0.76140  on 25  degrees of freedom
## AIC: -13.725
## 
## Number of Fisher Scoring iterations: 2
## 
##  One Sample t-test
## 
## data:  .
## t = 35.327, df = 4, p-value = 3.832e-06
## alternative hypothesis: true mean is not equal to 0.07107556
## 95 percent confidence interval:
##  0.6734990 0.7762682
## sample estimates:
## mean of x 
## 0.7248836

Phase 1I Trial Latency

1I First Session Trial Latencies
Subject SessionNum MeanLatency GroupMeanLatency sdGroupLatency
Bowser 1 8.813875 18.61286 10.90992
Darwin 1 20.149413 18.61286 10.90992
Estelle 1 10.158213 18.61286 10.90992
Herriot 1 39.007000 18.61286 10.90992
Wario 1 17.911880 18.61286 10.90992
Yoshi 1 15.636757 18.61286 10.90992
1I Terminal Session Trial Latencies
Subject SessionNum MeanLatency GroupMeanLatency sdGroupLatency
Bowser 8 15.52750 13.72567 4.45174
Darwin 4 12.21607 13.72567 4.45174
Estelle 6 20.99988 13.72567 4.45174
Herriot 9 11.94008 13.72567 4.45174
Wario 3 14.05649 13.72567 4.45174
Yoshi 5 7.61400 13.72567 4.45174 
## 
## Call:
## glm(formula = MeanLatency ~ SessionNum, data = .)
## 
## Coefficients:
##             Estimate Std. Error t value Pr(>|t|)    
## (Intercept)  16.9878     2.6410   6.432 3.12e-07 ***
## SessionNum   -0.2368     0.5981  -0.396    0.695    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for gaussian family taken to be 62.07861)
## 
##     Null deviance: 1996.2  on 33  degrees of freedom
## Residual deviance: 1986.5  on 32  degrees of freedom
## AIC: 240.79
## 
## Number of Fisher Scoring iterations: 2

Phase 1I.Test

1I.Test Info
Subject NumSessions
Bowser 5
Herriot 4
Wario 9
Yoshi 9
1I.Test SAP
Subject MeanSAP sdSAP GroupMeanSAP GroupsdSAP
Bowser 2.076758 7.720346 8.483424 13.39306
Herriot 28.558760 26.983867 8.483424 13.39306
Wario 1.082710 4.648900 8.483424 13.39306
Yoshi 2.215470 7.165853 8.483424 13.39306 
## Rows: 48774 Columns: 11
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## chr (2): EventType, TrainingPhase
## dbl (9): PacmanGridXCord, PacmanGridYCord, GoalGridXCord, GoalGridYCord, Tri...
## 
## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
### Phase 1.J
1J Info
Subject NumSessions
Bowser 3
Darwin 2
Estelle 6
Herriot 2
Wario 3
Yoshi 6
1J First Session SAP
Subject MeanSAP sdSAP GroupMeanSAP GroupsdSAP
Bowser 5.111111 6.790516 6.009024 6.077068
Darwin 3.440000 8.392790 6.009024 6.077068
Estelle 5.636364 10.911212 6.009024 6.077068
Herriot 2.160000 4.116677 6.009024 6.077068
Wario 1.706667 5.419617 6.009024 6.077068
Yoshi 18.000000 26.280538 6.009024 6.077068
1J Terminal Session SAP
Subject MeanSAP sdSAP GroupMeanSAP GroupsdSAP
Bowser 1.0400000 2.310025 1.21037 0.6440469
Darwin 1.0400000 2.286506 1.21037 0.6440469
Estelle 2.2222222 5.002563 1.21037 0.6440469
Herriot 1.7333333 3.326118 1.21037 0.6440469
Wario 0.6666667 1.654913 1.21037 0.6440469
Yoshi 0.5600000 1.117913 1.21037 0.6440469
1J Overall SAP
Subject MeanSAP sdSAP GroupMeanSAP GroupsdSAP
Bowser 1.737226 3.367819 1.913916 0.4427863
Darwin 2.240000 6.247340 1.913916 0.4427863
Estelle 2.329897 5.257379 1.913916 0.4427863
Herriot 1.946667 3.735889 1.913916 0.4427863
Wario 1.120000 3.493463 1.913916 0.4427863
Yoshi 2.109705 6.950536 1.913916 0.4427863
1J By Trial SAP
TrialPar MeanSAP sdSAP
1 0.6448087 2.218692
2 1.1328125 3.367366
3 1.4347826 3.841012
4 3.8800000 9.721574
5 2.5294118 3.796053
6 3.3548387 4.548813
7 4.4615385 9.631678 
## 
## Call:
## glm(formula = TrialPar ~ MeanSAP, data = .)
## 
## Coefficients:
##             Estimate Std. Error t value Pr(>|t|)   
## (Intercept)   0.7265     0.8409   0.864   0.4271   
## MeanSAP       1.3140     0.2963   4.435   0.0068 **
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for gaussian family taken to be 1.135187)
## 
##     Null deviance: 28.0000  on 6  degrees of freedom
## Residual deviance:  5.6759  on 5  degrees of freedom
## AIC: 24.397
## 
## Number of Fisher Scoring iterations: 2
## 
## Call:
## glm(formula = TrialPar ~ MeanSAP, data = .)
## 
## Coefficients:
##             Estimate Std. Error t value Pr(>|t|)  
## (Intercept)   1.5652     0.8883   1.762   0.1384  
## MeanSAP       0.7920     0.2388   3.316   0.0211 *
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for gaussian family taken to be 1.750269)
## 
##     Null deviance: 28.0000  on 6  degrees of freedom
## Residual deviance:  8.7513  on 5  degrees of freedom
## AIC: 27.428
## 
## Number of Fisher Scoring iterations: 2
## Rows: 68736 Columns: 11
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## chr (2): EventType, TrainingPhase
## dbl (9): PacmanGridXCord, PacmanGridYCord, GoalGridXCord, GoalGridYCord, Tri...
## 
## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.

Experiment 2 - Barrier Navigation Training

Phase 2A & 2B

Single barrier with pacman left (2A) or right (2B)

2A Info
Subject NumSessions
Bowser 5
Darwin 5
Estelle 14
Herriot 5
Wario 1
Yoshi 2
2A First Session SAP
Subject SessionNum MeanSAP sdSAP GroupMeanSAP GroupsdSAP
Bowser 1 5.3333333 8.062258 1.823333 1.777338
Darwin 1 0.9333333 2.285875 1.823333 1.777338
Estelle 1 1.5000000 1.914854 1.823333 1.777338
Herriot 1 1.7066667 2.860605 1.823333 1.777338
Wario 1 0.4266667 1.002340 1.823333 1.777338
Yoshi 1 1.0400000 1.841269 1.823333 1.777338
2A Terminal Session SAP
Subject SessionNum MeanSAP sdSAP GroupMeanSAP GroupsdSAP
Bowser 5 0.4800000 1.1781800 1.500988 1.247939
Darwin 5 3.2592593 6.9536520 1.500988 1.247939
Estelle 12 0.3333333 0.8164966 1.500988 1.247939
Herriot 5 2.2933333 4.3208274 1.500988 1.247939
Wario 1 0.4266667 1.0023396 1.500988 1.247939
Yoshi 2 2.2133333 5.2871423 1.500988 1.247939 

## Rows: 97207 Columns: 11
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## chr (2): EventType, TrainingPhase
## dbl (9): PacmanGridXCord, PacmanGridYCord, GoalGridXCord, GoalGridYCord, Tri...
## 
## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.

2B Info
Subject NumSessions
Bowser 2
Darwin 8
Herriot 1
Wario 4
Yoshi 5
2B First Session SAP
Subject SessionNum MeanSAP sdSAP GroupMeanSAP GroupsdSAP
Bowser 1 2.562500 2.651080 3.086595 1.208998
Darwin 1 1.857143 2.143223 3.086595 1.208998
Herriot 1 2.933333 4.328826 3.086595 1.208998
Wario 1 5.093333 11.518696 3.086595 1.208998
Yoshi 1 2.986667 5.726877 3.086595 1.208998
2B Terminal Session SAP
Subject SessionNum MeanSAP sdSAP GroupMeanSAP GroupsdSAP
Bowser 2 1.1466667 1.7452122 1.20064 0.9992731
Darwin 8 0.4722222 0.9782454 1.20064 0.9992731
Herriot 1 2.9333333 4.3288265 1.20064 0.9992731
Wario 3 0.7843137 1.6039168 1.20064 0.9992731
Yoshi 5 0.6666667 1.3288212 1.20064 0.9992731 
## 
## Call:
## glm(formula = SAP ~ SessionNum, data = .)
## 
## Coefficients:
##             Estimate Std. Error t value Pr(>|t|)    
## (Intercept)  3.24879    0.30648   10.60  < 2e-16 ***
## SessionNum  -0.44729    0.07543   -5.93 4.04e-09 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for gaussian family taken to be 31.07121)
## 
##     Null deviance: 35830  on 1119  degrees of freedom
## Residual deviance: 34738  on 1118  degrees of freedom
## AIC: 7031.1
## 
## Number of Fisher Scoring iterations: 2
## Rows: 97565 Columns: 11
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## chr (2): EventType, TrainingPhase
## dbl (9): PacmanGridXCord, PacmanGridYCord, GoalGridXCord, GoalGridYCord, Tri...
## 
## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.

## 
## Call:
## glm(formula = SAP ~ SessionNum, data = .)
## 
## Coefficients:
##             Estimate Std. Error t value Pr(>|t|)    
## (Intercept)  2.06459    0.17434  11.842  < 2e-16 ***
## SessionNum  -0.10752    0.02996  -3.589 0.000338 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for gaussian family taken to be 23.64199)
## 
##     Null deviance: 61064  on 2571  degrees of freedom
## Residual deviance: 60760  on 2570  degrees of freedom
## AIC: 15438
## 
## Number of Fisher Scoring iterations: 2
## 
##  Two Sample t-test
## 
## data:  two_AB_data$SAP and one_J_data$SAP
## t = -0.35051, df = 3389, p-value = 0.726
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -0.4597907  0.3203288
## sample estimates:
## mean of x mean of y 
##  1.541991  1.611722
## 
## Call:
## glm(formula = SAP ~ SessionNum, data = .)
## 
## Coefficients:
##             Estimate Std. Error t value Pr(>|t|)    
## (Intercept)  2.06459    0.17434  11.842  < 2e-16 ***
## SessionNum  -0.10752    0.02996  -3.589 0.000338 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for gaussian family taken to be 23.64199)
## 
##     Null deviance: 61064  on 2571  degrees of freedom
## Residual deviance: 60760  on 2570  degrees of freedom
## AIC: 15438
## 
## Number of Fisher Scoring iterations: 2

Phase 2C & 2D

Double barrier with pacman left (2C) or right (2D)

2C Info
Subject NumSessions
Bowser 8
Darwin 2
Estelle 1
Herriot 2
Wario 1
Yoshi 2
2C First Session SAP
Subject SessionNum MeanSAP sdSAP GroupMeanSAP GroupsdSAP
Bowser 1 5.333333 9.327379 10.18048 7.812905
Darwin 1 22.545455 52.383865 10.18048 7.812905
Estelle 1 2.000000 2.828427 10.18048 7.812905
Herriot 1 9.946667 26.132662 10.18048 7.812905
Yoshi 1 11.076923 21.515459 10.18048 7.812905
2C Terminal Session SAP
Subject SessionNum MeanSAP sdSAP GroupMeanSAP GroupsdSAP
Bowser 7 0.8533333 2.282088 2.677333 1.425183
Darwin 2 3.2000000 8.121303 2.677333 1.425183
Estelle 1 2.0000000 2.828427 2.677333 1.425183
Herriot 2 2.6400000 4.449841 2.677333 1.425183
Yoshi 2 4.6933333 9.948480 2.677333 1.425183 
## 
## Call:
## glm(formula = SAP ~ SessionNum, data = .)
## 
## Coefficients:
##             Estimate Std. Error t value Pr(>|t|)    
## (Intercept)   9.4535     1.1503   8.219 1.25e-15 ***
## SessionNum   -1.5023     0.2875  -5.225 2.40e-07 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for gaussian family taken to be 243.0414)
## 
##     Null deviance: 154403  on 609  degrees of freedom
## Residual deviance: 147769  on 608  degrees of freedom
## AIC: 5086
## 
## Number of Fisher Scoring iterations: 2
2D Info
Subject NumSessions
Bowser 3
Darwin 6
Herriot 3
Wario 1
Yoshi 3
2D First Session SAP
Subject SessionNum MeanSAP sdSAP GroupMeanSAP GroupsdSAP
Bowser 1 3.260870 6.907113 5.648123 2.410636
Darwin 1 8.923077 23.189299 5.648123 2.410636
Herriot 1 6.750000 12.646560 5.648123 2.410636
Wario 1 3.306667 9.767532 5.648123 2.410636
Yoshi 1 6.000000 11.563489 5.648123 2.410636
2D Terminal Session SAP
Subject SessionNum MeanSAP sdSAP GroupMeanSAP GroupsdSAP
Bowser 3 3.241379 5.275653 3.053609 1.66238
Darwin 6 5.600000 8.315982 3.053609 1.66238
Herriot 3 1.626667 3.199549 3.053609 1.66238
Wario 1 3.306667 9.767532 3.053609 1.66238
Yoshi 3 1.493333 2.632301 3.053609 1.66238 
## 
## Call:
## glm(formula = SAP ~ SessionNum, data = .)
## 
## Coefficients:
##             Estimate Std. Error t value Pr(>|t|)    
## (Intercept)   4.1499     0.7368   5.632 2.78e-08 ***
## SessionNum   -0.4244     0.2955  -1.436    0.151    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for gaussian family taken to be 61.22922)
## 
##     Null deviance: 35517  on 579  degrees of freedom
## Residual deviance: 35390  on 578  degrees of freedom
## AIC: 4036.4
## 
## Number of Fisher Scoring iterations: 2
## Rows: 118577 Columns: 11
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## chr (2): EventType, TrainingPhase
## dbl (9): PacmanGridXCord, PacmanGridYCord, GoalGridXCord, GoalGridYCord, Tri...
## 
## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
## Rows: 198014 Columns: 11
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## chr  (1): EventType
## dbl (10): PacmanGridXCord, PacmanGridYCord, GoalGridXCord, GoalGridYCord, Tr...
## 
## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.

## 
## Call:
## glm(formula = TrialPar ~ SAP, data = .)
## 
## Coefficients:
##             Estimate Std. Error t value Pr(>|t|)    
## (Intercept) 3.713391   0.030215 122.898  < 2e-16 ***
## SAP         0.012923   0.002291   5.642 2.09e-08 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for gaussian family taken to be 1.018941)
## 
##     Null deviance: 1272.5  on 1218  degrees of freedom
## Residual deviance: 1240.1  on 1217  degrees of freedom
## AIC: 3486.2
## 
## Number of Fisher Scoring iterations: 2
2C & 2D Par 6 vs. Non-Par6 Trials SAP
ParSixTrial MeanSAP sdSAP
FALSE 3.450451 11.30529
TRUE 9.100000 24.19520 
## 
##  Two Sample t-test
## 
## data:  par_six_data$SAP and nonpar_six_data$SAP
## t = 3.8796, df = 1188, p-value = 0.0001104
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  2.792521 8.506578
## sample estimates:
## mean of x mean of y 
##   9.10000   3.45045
## `geom_smooth()` using formula = 'y ~ x'

Phase 2 TEST

2 TEST Info
Subject NumSessions
Herriot 7
Wario 8
Yoshi 5
2 TEST SAP
Subject MeanSAP sdSAP GroupMeanSAP GroupsdSAP
Herriot 7.463035 19.281012 4.913464 2.253665
Wario 3.187266 14.783698 4.913464 2.253665
Yoshi 4.090090 8.027306 4.913464 2.253665
2 Test Session SAP
Subject SessionNum MeanSAP sdSAP GroupMeanSAP GroupsdSAP
Herriot 1 15.461538 47.181548 7.651624 6.862337
Wario 1 4.906667 7.838183 7.651624 6.862337
Yoshi 1 2.586667 4.962272 7.651624 6.862337
2 TEST Terminal Session SAP
Subject SessionNum MeanSAP sdSAP GroupMeanSAP GroupsdSAP
Herriot 7 7.226667 15.484581 3.937778 3.144896
Wario 8 0.960000 1.955173 3.937778 3.144896
Yoshi 5 3.626667 6.270422 3.937778 3.144896 
## 
## Call:
## glm(formula = SAP ~ SessionNum, data = .)
## 
## Coefficients:
##             Estimate Std. Error t value Pr(>|t|)    
## (Intercept)   6.7313     0.9568   7.035 3.45e-12 ***
## SessionNum   -0.5437     0.2020  -2.692  0.00721 ** 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for gaussian family taken to be 209.2384)
## 
##     Null deviance: 236282  on 1123  degrees of freedom
## Residual deviance: 234766  on 1122  degrees of freedom
## AIC: 9199.8
## 
## Number of Fisher Scoring iterations: 2
## Rows: 136207 Columns: 11
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## chr (2): EventType, TrainingPhase
## dbl (9): PacmanGridXCord, PacmanGridYCord, GoalGridXCord, GoalGridYCord, Tri...
## 
## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.

There was also a positive correlation between trial par and SAP
2 TEST By Par SAP
TrialPar MeanSAP sdSAP
2 2.227273 6.931102
3 2.751678 9.941658
4 3.020576 6.885995
5 4.519031 18.019101
6 5.825758 18.564038
7 5.422222 11.330557
8 8.285714 12.779974
9 11.800000 21.611725 
## 
## Call:
## glm(formula = SAP ~ TrialPar, data = .)
## 
## Coefficients:
##             Estimate Std. Error t value Pr(>|t|)    
## (Intercept)  -0.6042     1.5354  -0.393 0.694028    
## TrialPar      1.0226     0.2992   3.417 0.000655 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for gaussian family taken to be 208.4205)
## 
##     Null deviance: 236282  on 1123  degrees of freedom
## Residual deviance: 233848  on 1122  degrees of freedom
## AIC: 9195.4
## 
## Number of Fisher Scoring iterations: 2

## `geom_smooth()` using formula = 'y ~ x'

Experiment 3 - Portal Training

Only one phase type in which portals were

3 Info
Subject NumSessions
Herriot 5
Wario 8
Yoshi 9
3 First Session SAP
Subject SessionNum MeanSAP sdSAP GroupMeanSAP GroupsdSAP
Herriot 1 5.830986 18.687648 6.574773 3.775356
Wario 1 3.226667 5.834597 6.574773 3.775356
Yoshi 1 10.666667 16.124516 6.574773 3.775356
3 Terminal Session SAP
Subject SessionNum MeanSAP sdSAP GroupMeanSAP GroupsdSAP
Herriot 5 1.8133333 3.466805 3.946667 4.698482
Wario 8 0.6933333 1.207783 3.946667 4.698482
Yoshi 9 9.3333333 24.291876 3.946667 4.698482 

## 
## Call:
## glm(formula = SAP ~ SessionNum, data = .)
## 
## Coefficients:
##             Estimate Std. Error t value Pr(>|t|)    
## (Intercept)  3.76507    0.40560   9.283  < 2e-16 ***
## SessionNum  -0.34871    0.08109  -4.300 1.83e-05 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for gaussian family taken to be 45.27644)
## 
##     Null deviance: 62866  on 1371  degrees of freedom
## Residual deviance: 62029  on 1370  degrees of freedom
## AIC: 9128.7
## 
## Number of Fisher Scoring iterations: 2

Experiment 4 - Insight Experiment

Phase 4A

Phase 4A Information

4A Info
Subject InsightTrialType NTrials MeanSAP
Yoshi 7.1 3 15.666667
Herriot 7.1 13 10.000000
Wario 7.1 11 2.909091

4A first trial information

4A First Trial Completion Times (in seconds)
Subject InsightTrialType FirstTrialCompletion MeanofFirstTrialCompletion meanIRI
Yoshi 7.1 31.179 34.40767 1.2384400 secs
Herriot 7.1 35.344 34.40767 0.6715962 secs
Wario 7.1 36.700 34.40767 0.6527273 secs
4A First Trial SAP
Subject InsightTrialType FirstTrialSap MeanofFirstTrialSap
Yoshi 7.1 2 4.666667
Herriot 7.1 4 4.666667
Wario 7.1 8 4.666667

Rest of 4A session information

4A Session-Wide Trial Duration (in seconds)
Subject InsightTrialType NTrials MeanTrialDuration MoMTrialDuration sdTD
Yoshi 7.1 2 398.53500 82.86854 117.3662
Herriot 7.1 12 73.98958 82.86854 117.3662
Wario 7.1 10 30.39000 82.86854 117.3662
4A Session-Wide IRIs (in seconds)
Subject InsightTrialType NTrials MeanIRI MoMIRI sdMeanIRI
Yoshi 7.1 2 2.3511368 secs 1.082858 secs 0.4089411
Herriot 7.1 12 1.0805156 secs 1.082858 secs 0.4089411
Wario 7.1 10 0.8320142 secs 1.082858 secs 0.4089411
4A Session-Wide SAP
Subject InsightTrialType NTrials MeanSAP MoMSAP sdSAP
Yoshi 7.1 2 22.5 8.125 8.237309
Herriot 7.1 12 10.5 8.125 8.237309
Wario 7.1 10 2.4 8.125 8.237309

4A GLMs

4A GLM for SAP

## 
## Call:
## glm(formula = TrialSap ~ KeyTrialCounter, data = GLM_data)
## 
## Coefficients:
##                 Estimate Std. Error t value Pr(>|t|)   
## (Intercept)       9.7942     2.9622   3.306  0.00286 **
## KeyTrialCounter  -0.3402     0.4206  -0.809  0.42634   
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for gaussian family taken to be 62.80461)
## 
##     Null deviance: 1611.2  on 26  degrees of freedom
## Residual deviance: 1570.1  on 25  degrees of freedom
## AIC: 192.33
## 
## Number of Fisher Scoring iterations: 2

4A GLM for Trial Completion Time

## 
## Call:
## glm(formula = TrialDuration ~ KeyTrialCounter, data = GLM_data)
## 
## Coefficients:
##                 Estimate Std. Error t value Pr(>|t|)  
## (Intercept)      108.640     41.867   2.595   0.0156 *
## KeyTrialCounter   -5.161      5.945  -0.868   0.3936  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for gaussian family taken to be 12545.85)
## 
##     Null deviance: 323100  on 26  degrees of freedom
## Residual deviance: 313646  on 25  degrees of freedom
## AIC: 335.35
## 
## Number of Fisher Scoring iterations: 2

4A GLM for Inter-Response Intervals

## 
## Call:
## glm(formula = MeanTrialIRI ~ KeyTrialCounter, data = GLM_data)
## 
## Coefficients:
##                 Estimate Std. Error t value Pr(>|t|)    
## (Intercept)     1.021495   0.203274   5.025 3.49e-05 ***
## KeyTrialCounter 0.005957   0.028865   0.206    0.838    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for gaussian family taken to be 0.2957523)
## 
##     Null deviance: 7.4064  on 26  degrees of freedom
## Residual deviance: 7.3938  on 25  degrees of freedom
## AIC: 47.652
## 
## Number of Fisher Scoring iterations: 2
## Warning: There was 1 warning in `mutate()`.
## ℹ In argument: `IRI_GLM_Slope = coef(summary(glm(IRI ~ ResponseCounter, data =
##   cur_data())))[2]`.
## ℹ In group 1: `Subject = "Herriot"`.
## Caused by warning:
## ! `cur_data()` was deprecated in dplyr 1.1.0.
## ℹ Please use `pick()` instead.
4A: w/in First Trial IRI GLM Data
Subject InsightTrialType IRI_GLM_Slope IRI_GLM_Sig
Yoshi 7.1 -0.0009070 0.9884506
Herriot 7.1 0.0073687 0.5220886
Wario 7.1 -0.0071759 0.4090095

4A compared to 2 TEST SAP performance

## 
##  Welch Two Sample t-test
## 
## data:  fiveTEST_data$SAP and fourA_data$SAP
## t = -0.81637, df = 70.944, p-value = 0.417
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -6.135634  2.570986
## sample estimates:
## mean of x mean of y 
##  5.063830  6.846154

Phase 4B

Phase 4B Information

4B Info
Subject InsightTrialType NTrials MeanSAP
Yoshi 7.2 4 4.000000
Herriot 7.2 12 4.666667
Wario 7.2 16 2.875000

4B first trial information

4B First Trial Completion Times (in seconds)
Subject InsightTrialType FirstTrialCompletion MeanofFirstTrialCompletion meanIRI
Yoshi 7.2 62.492 49.56 1.6881351 secs
Herriot 7.2 75.088 49.56 0.8525479 secs
Wario 7.2 11.100 49.56 0.4120000 secs
4B First Trial SAP
Subject InsightTrialType FirstTrialSap MeanofFirstTrialSap
Yoshi 7.2 2 5.333333
Herriot 7.2 14 5.333333
Wario 7.2 0 5.333333

Rest of 4B session information

4B Session-Wide Trial Duration (in seconds)
Subject InsightTrialType NTrials MeanTrialDuration MoMTrialDuration sdTD
Yoshi 7.2 4 48.83100 34.93331 15.5417
Herriot 7.2 12 36.56183 34.93331 15.5417
Wario 7.2 16 30.23750 34.93331 15.5417
4B Session-Wide IRIs (in seconds)
Subject InsightTrialType NTrials MeanIRI MoMIRI sdMeanIRI
Yoshi 7.2 4 0.9440937 secs 0.7187314 secs 0.103001
Herriot 7.2 12 0.7543991 secs 0.7187314 secs 0.103001
Wario 7.2 16 0.6356401 secs 0.7187314 secs 0.103001
4B Session-Wide SAP
Subject InsightTrialType NTrials MeanSAP MoMSAP sdSAP
Yoshi 7.2 4 4.000000 3.6875 3.136029
Herriot 7.2 12 4.666667 3.6875 3.136029
Wario 7.2 16 2.875000 3.6875 3.136029

4B GLMs

4B GLM for SAP

## 
## Call:
## glm(formula = TrialSap ~ KeyTrialCounter, data = GLM_data)
## 
## Coefficients:
##                 Estimate Std. Error t value Pr(>|t|)    
## (Intercept)       5.0000     1.0281   4.864 3.42e-05 ***
## KeyTrialCounter  -0.1875     0.1247  -1.504    0.143    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for gaussian family taken to be 9.45)
## 
##     Null deviance: 304.88  on 31  degrees of freedom
## Residual deviance: 283.50  on 30  degrees of freedom
## AIC: 166.62
## 
## Number of Fisher Scoring iterations: 2

4B GLM for Trial Completion Time

## 
## Call:
## glm(formula = TrialDuration ~ KeyTrialCounter, data = GLM_data)
## 
## Coefficients:
##                 Estimate Std. Error t value Pr(>|t|)    
## (Intercept)      47.6053     4.5263  10.518 1.39e-11 ***
## KeyTrialCounter  -1.8103     0.5489  -3.298  0.00251 ** 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for gaussian family taken to be 183.1798)
## 
##     Null deviance: 7487.9  on 31  degrees of freedom
## Residual deviance: 5495.4  on 30  degrees of freedom
## AIC: 261.48
## 
## Number of Fisher Scoring iterations: 2

4B GLM for Inter-Response Intervals

## 
## Call:
## glm(formula = MeanTrialIRI ~ KeyTrialCounter, data = GLM_data)
## 
## Coefficients:
##                 Estimate Std. Error t value Pr(>|t|)    
## (Intercept)      0.87945    0.08511  10.333 2.12e-11 ***
## KeyTrialCounter -0.02296    0.01032  -2.225   0.0338 *  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for gaussian family taken to be 0.06476478)
## 
##     Null deviance: 2.2635  on 31  degrees of freedom
## Residual deviance: 1.9429  on 30  degrees of freedom
## AIC: 7.163
## 
## Number of Fisher Scoring iterations: 2

4B compared to 2 TEST SAP performance

## 
##  Welch Two Sample t-test
## 
## data:  fiveTEST_data$SAP and fourA_data$SAP
## t = 0.73998, df = 54.637, p-value = 0.4625
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -2.351653  5.104313
## sample estimates:
## mean of x mean of y 
##   5.06383   3.68750

Phase 4C

Phase 4C Information

4C Info
Subject InsightTrialType NTrials MeanSAP
Yoshi 7.3 2 2.000000
Herriot 7.3 12 3.166667
Wario 7.3 16 4.437500

4C first trial information

4C First Trial Completion Times (in seconds)
Subject InsightTrialType FirstTrialCompletion MeanofFirstTrialCompletion meanIRI
Yoshi 7.3 49.455 52.59167 0.9095714 secs
Herriot 7.3 41.920 52.59167 0.8171600 secs
Wario 7.3 66.400 52.59167 0.8706667 secs
4C First Trial SAP
Subject InsightTrialType FirstTrialSap MeanofFirstTrialSap
Yoshi 7.3 2 4.666667
Herriot 7.3 4 4.666667
Wario 7.3 8 4.666667

Rest of 4C session information

4C Session-Wide Trial Duration (in seconds)
Subject InsightTrialType NTrials MeanTrialDuration MoMTrialDuration sdTD
Yoshi 7.3 2 53.23050 45.47867 26.76099
Herriot 7.3 12 39.29992 45.47867 26.76099
Wario 7.3 16 49.14375 45.47867 26.76099
4C Session-Wide IRIs (in seconds)
Subject InsightTrialType NTrials MeanIRI MoMIRI sdMeanIRI
Yoshi 7.3 2 0.8338757 secs 0.9812891 secs 0.1453817
Herriot 7.3 12 0.8275926 secs 0.9812891 secs 0.1453817
Wario 7.3 16 1.1149880 secs 0.9812891 secs 0.1453817
4C Session-Wide SAP
Subject InsightTrialType NTrials MeanSAP MoMSAP sdSAP
Yoshi 7.3 2 2.000000 3.766667 4.825817
Herriot 7.3 12 3.166667 3.766667 4.825817
Wario 7.3 16 4.437500 3.766667 4.825817

4C GLMs

4C GLM for SAP

## 
## Call:
## glm(formula = TrialSap ~ KeyTrialCounter, data = GLM_data)
## 
## Coefficients:
##                 Estimate Std. Error t value Pr(>|t|)    
## (Intercept)       6.2721     1.6333   3.840 0.000644 ***
## KeyTrialCounter  -0.3464     0.1929  -1.796 0.083337 .  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for gaussian family taken to be 21.62928)
## 
##     Null deviance: 675.37  on 29  degrees of freedom
## Residual deviance: 605.62  on 28  degrees of freedom
## AIC: 181.29
## 
## Number of Fisher Scoring iterations: 2
4C: w/in Subject SAP GLM
Subject InsightTrialType MaxTrials SAP_GLM_Slope SAP_GLM_SE SAP_GLM_Tval SAP_GLM_Sig
Yoshi 7.3 8 0.0000000 NaN NaN NaN
Herriot 7.3 55 -0.1235834 0.0500671 -2.468355 0.0331982
Wario 7.3 71 -0.0956741 0.0654670 -1.461410 0.1659832
4C: w/in Subject SAP GLM
Subject InsightTrialType MaxTrials SAP_GLM_Slope SAP_GLM_SE SAP_GLM_Tval SAP_GLM_Sig
Yoshi 7.3 8 0.0000000 NaN NaN NaN
Herriot 7.3 55 -0.0984802 0.0347575 -2.833354 0.0196147
Wario 7.3 71 -0.0602700 0.0321793 -1.872946 0.0878764

4C GLM for Trial Completion Time

## 
## Call:
## glm(formula = TrialDuration ~ KeyTrialCounter, data = GLM_data)
## 
## Coefficients:
##                 Estimate Std. Error t value Pr(>|t|)    
## (Intercept)       61.541      8.880   6.930 1.56e-07 ***
## KeyTrialCounter   -2.221      1.049  -2.117   0.0432 *  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for gaussian family taken to be 639.3493)
## 
##     Null deviance: 20768  on 29  degrees of freedom
## Residual deviance: 17902  on 28  degrees of freedom
## AIC: 282.88
## 
## Number of Fisher Scoring iterations: 2

4C GLM for Inter-Response Intervals

## 
## Call:
## glm(formula = MeanTrialIRI ~ KeyTrialCounter, data = GLM_data)
## 
## Coefficients:
##                 Estimate Std. Error t value Pr(>|t|)    
## (Intercept)      0.83130    0.10488   7.926 1.24e-08 ***
## KeyTrialCounter  0.02074    0.01239   1.674    0.105    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for gaussian family taken to be 0.08919294)
## 
##     Null deviance: 2.7474  on 29  degrees of freedom
## Residual deviance: 2.4974  on 28  degrees of freedom
## AIC: 16.558
## 
## Number of Fisher Scoring iterations: 2

4C compared to 2 TEST SAP performance

## 
##  Welch Two Sample t-test
## 
## data:  fiveTEST_data$SAP and fourC_data$SAP
## t = 0.090632, df = 71.789, p-value = 0.928
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -3.492285  3.824943
## sample estimates:
## mean of x mean of y 
##  4.235294  4.068966

Phase 4D

Phase 4D Information

4D Info
Subject InsightTrialType NTrials MeanSAP
Yoshi 7.4 8 9.50000
Herriot 7.4 10 22.50000
Wario 7.4 11 13.36364

4D first trial information

4D First Trial Completion Times (in seconds)
Subject InsightTrialType FirstTrialCompletion MeanofFirstTrialCompletion meanIRI
Yoshi 7.4 277.346 116.938 1.1321526 secs
Herriot 7.4 48.068 116.938 0.4819255 secs
Wario 7.4 25.400 116.938 0.4314815 secs
4D First Trial SAP
Subject InsightTrialType FirstTrialSap MeanofFirstTrialSap
Yoshi 7.4 34 16
Herriot 7.4 8 16
Wario 7.4 6 16

4D second trial information

4D Second Trial Completion Times (in seconds)
Subject InsightTrialType SecondTrialCompletion MeanofSecondTrialCompletion meanIRI
Yoshi 7.4 47.737 73.254 1.0153721 secs
Herriot 7.4 59.925 73.254 0.5835152 secs
Wario 7.4 112.100 73.254 0.9785714 secs
4D Second Trial SAP
Subject InsightTrialType SecondTrialSap MeanofSecondTrialSap
Yoshi 7.4 0 15.66667
Herriot 7.4 19 15.66667
Wario 7.4 28 15.66667

Rest of 4D session information

4D Session-Wide Trial Duration (in seconds)
Subject InsightTrialType NTrials MeanTrialDuration MoMTrialDuration sdTD
Yoshi 7.4 8 106.1730 111.1993 198.2741
Herriot 7.4 10 111.4996 111.1993 198.2741
Wario 7.4 11 114.5818 111.1993 198.2741
4D Session-Wide IRIs (in seconds)
Subject InsightTrialType NTrials MeanIRI MoMIRI sdMeanIRI
Yoshi 7.4 8 0.9553153 secs 0.8440711 secs 0.0907274
Herriot 7.4 10 0.7316108 secs 0.8440711 secs 0.0907274
Wario 7.4 11 0.8654029 secs 0.8440711 secs 0.0907274
4D Session-Wide SAP
Subject InsightTrialType NTrials MeanSAP MoMSAP sdSAP
Yoshi 7.4 8 9.50000 15.44828 28.53267
Herriot 7.4 10 22.50000 15.44828 28.53267
Wario 7.4 11 13.36364 15.44828 28.53267 
## 
##  Welch Two Sample t-test
## 
## data:  fiveTEST_data$SAP and fourD_data$SAP
## t = -1.8584, df = 34.377, p-value = 0.0717
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -21.7359000   0.9670078
## sample estimates:
## mean of x mean of y 
##   5.06383  15.44828

4D Portal Entrance Ratios

4D Percentage of Trials w/ Portal Use
Subject InsightTrialType PortalAccessRate AvgPortalAccessRate
Yoshi 7.4 0.2500000 0.2439394
Herriot 7.4 0.3000000 0.2439394
Wario 7.4 0.1818182 0.2439394
4D - Performance in Trials w/ Portal Use
Subject InsightTrialType NTrials MeanSAP MoMSAP sdSAP MeanTrialDuration MoMTrialDuration sdTD MeanIRI MoMIRI sdMeanIRI
Yoshi 7.4 2 28.0 49.83333 7.549834 216.4965 336.5269 113.505 1.0316612 secs 1.178843 secs 0.5037769
Herriot 7.4 3 57.0 49.83333 7.549834 267.0343 336.5269 113.505 0.7650486 secs 1.178843 secs 0.5037769
Wario 7.4 2 64.5 49.83333 7.549834 526.0500 336.5269 113.505 1.7398190 secs 1.178843 secs 0.5037769
4D - Performance in Trials w/o Portal Use
Subject InsightTrialType NTrials MeanSAP MoMSAP sdSAP MeanTrialDuration MoMTrialDuration sdTD MeanIRI MoMIRI sdMeanIRI
Yoshi 7.4 6 3.333333 4.349206 4.163332 69.39850 45.79493 12.99288 0.9298666 secs 0.7727451 secs 0.1380175
Herriot 7.4 7 7.714286 4.349206 4.163332 44.84186 45.79493 12.99288 0.7172803 secs 0.7727451 secs 0.1380175
Wario 7.4 9 2.000000 4.349206 4.163332 23.14444 45.79493 12.99288 0.6710882 secs 0.7727451 secs 0.1380175

### 4D GLMs #### 4D GLM for SAP

## 
## Call:
## glm(formula = TrialSap ~ KeyTrialCounter, data = .)
## 
## Coefficients:
##                 Estimate Std. Error t value Pr(>|t|)
## (Intercept)      12.4740    11.3875   1.095    0.283
## KeyTrialCounter   0.5494     1.8532   0.296    0.769
## 
## (Dispersion parameter for gaussian family taken to be 841.5264)
## 
##     Null deviance: 22795  on 28  degrees of freedom
## Residual deviance: 22721  on 27  degrees of freedom
## AIC: 281.55
## 
## Number of Fisher Scoring iterations: 2
## 
## Call:
## glm(formula = TrialSap ~ KeyTrialCounter, data = .)
## 
## Coefficients:
##                 Estimate Std. Error t value Pr(>|t|)   
## (Intercept)       5.9412     1.9103   3.110  0.00552 **
## KeyTrialCounter  -0.4118     0.3945  -1.044  0.30899   
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for gaussian family taken to be 17.79412)
## 
##     Null deviance: 375.27  on 21  degrees of freedom
## Residual deviance: 355.88  on 20  degrees of freedom
## AIC: 129.67
## 
## Number of Fisher Scoring iterations: 2
4D: w/in Subject SAP GLM
Subject InsightTrialType MaxTrials SAP_GLM_Slope SAP_GLM_SE SAP_GLM_Tval SAP_GLM_Sig
Yoshi 7.4 18 -1.5384615 0.8402083 -1.831048 0.1168184
Herriot 7.4 51 1.3353774 0.6897176 1.936122 0.0888769
Wario 7.4 63 -0.5431627 0.4520414 -1.201577 0.2601910
4D: w/in Subject SAP GLM w/o trial use
Subject InsightTrialType MaxTrials SAP_GLM_Slope SAP_GLM_SE SAP_GLM_Tval SAP_GLM_Sig
Yoshi 7.4 18 -0.0212202 0.4245689 -0.0499805 0.9625341
Herriot 7.4 42 -0.0094340 0.1807944 -0.0521806 0.9604053
Wario 7.4 63 -0.0561604 0.0302495 -1.8565723 0.1057422

4D GLM for Trial Completion Time

## 
## Call:
## glm(formula = TrialDuration ~ KeyTrialCounter, data = .)
## 
## Coefficients:
##                 Estimate Std. Error t value Pr(>|t|)
## (Intercept)     114.9027    79.2565   1.450    0.159
## KeyTrialCounter  -0.6841    12.8981  -0.053    0.958
## 
## (Dispersion parameter for gaussian family taken to be 40764.4)
## 
##     Null deviance: 1100753  on 28  degrees of freedom
## Residual deviance: 1100639  on 27  degrees of freedom
## AIC: 394.08
## 
## Number of Fisher Scoring iterations: 2

4D GLM for Inter-Response Intervals

## 
## Call:
## glm(formula = MeanTrialIRI ~ KeyTrialCounter, data = .)
## 
## Coefficients:
##                 Estimate Std. Error t value Pr(>|t|)    
## (Intercept)       0.9372     0.1880   4.985 3.17e-05 ***
## KeyTrialCounter  -0.0172     0.0306  -0.562    0.579    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for gaussian family taken to be 0.2293823)
## 
##     Null deviance: 6.2658  on 28  degrees of freedom
## Residual deviance: 6.1933  on 27  degrees of freedom
## AIC: 43.528
## 
## Number of Fisher Scoring iterations: 2

Phase 4E

Phase 4E Information

4E Info
Subject InsightTrialType NTrials MeanSAP
Yoshi 7.5 2 5.000000
Herriot 7.5 10 2.300000
Wario 7.5 17 1.411765

4E first trial information

4E First Trial Completion Times (in seconds)
Subject InsightTrialType FirstTrialCompletion MeanofFirstTrialCompletion meanIRI
Yoshi 7.5 46.071 29.83433 0.8838511 secs
Herriot 7.5 27.532 29.83433 1.0694167 secs
Wario 7.5 15.900 29.83433 0.5192308 secs
4E First Trial SAP
Subject InsightTrialType FirstTrialSap MeanofFirstTrialSap
Yoshi 7.5 2 0.6666667
Herriot 7.5 0 0.6666667
Wario 7.5 0 0.6666667

Rest of 4E session information

4E Session-Wide Trial Duration (in seconds)
Subject InsightTrialType NTrials MeanTrialDuration MoMTrialDuration sdTD
Yoshi 7.5 2 57.84450 30.87934 18.00843
Herriot 7.5 10 37.37120 30.87934 18.00843
Wario 7.5 17 23.88824 30.87934 18.00843
4E Session-Wide IRIs (in seconds)
Subject InsightTrialType NTrials MeanIRI MoMIRI sdMeanIRI
Yoshi 7.5 2 0.8716157 secs 0.8915016 secs 0.2366488
Herriot 7.5 10 1.2071038 secs 0.8915016 secs 0.2366488
Wario 7.5 17 0.7081928 secs 0.8915016 secs 0.2366488
4E Session-Wide SAP
Subject InsightTrialType NTrials MeanSAP MoMSAP sdSAP
Yoshi 7.5 2 5.000000 1.965517 3.55048
Herriot 7.5 10 2.300000 1.965517 3.55048
Wario 7.5 17 1.411765 1.965517 3.55048

Portal-Dependent info

4E Percentage of Trials w/ Portal Use
Subject InsightTrialType PortalAccessRate AvgPortalAccessRate
Yoshi 7.5 1.0000000 0.7960784
Herriot 7.5 0.8000000 0.7960784
Wario 7.5 0.5882353 0.7960784
4E - Performance in Trials w/ Portal Use
Subject InsightTrialType NTrials MeanSAP MoMSAP sdSAP MeanTrialDuration MoMTrialDuration sdTD MeanIRI MoMIRI sdMeanIRI
Yoshi 7.5 2 5.0 2.5 1.1547 57.8445 36.20517 15.2167 0.8716157 secs 0.8396238 secs 0.1038873
Herriot 7.5 8 2.5 2.5 1.1547 31.6910 36.20517 15.2167 0.9237526 secs 0.8396238 secs 0.1038873
Wario 7.5 10 0.0 2.5 1.1547 19.0800 36.20517 15.2167 0.7235031 secs 0.8396238 secs 0.1038873
4E - Performance in Trials w/o Portal Use
Subject InsightTrialType NTrials MeanSAP MoMSAP sdSAP MeanTrialDuration MoMTrialDuration sdTD MeanIRI MoMIRI sdMeanIRI
Herriot 7.5 2 1.500000 2.464286 2.828427 60.09200 45.42457 4.830953 2.3405089 secs 1.513415 secs 1.169687
Wario 7.5 7 3.428571 2.464286 2.828427 30.75714 45.42457 4.830953 0.6863209 secs 1.513415 secs 1.169687 
## 
##  Welch Two Sample t-test
## 
## data:  portal_used_data$TrialSAP and portal_NOT_used_data$TrialSAP
## t = 0.9727, df = 12.978, p-value = 0.3485
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -1.832079  4.832079
## sample estimates:
## mean of x mean of y 
##       3.0       1.5

## 
##  Welch Two Sample t-test
## 
## data:  fiveTEST_data$SAP and fourE_data$SAP
## t = 0.97296, df = 76.972, p-value = 0.3336
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -1.058109  3.080087
## sample estimates:
## mean of x mean of y 
##  3.153846  2.142857

4E GLMs

4E GLM for SAP

## 
## Call:
## glm(formula = TrialSap ~ KeyTrialCounter, data = GLM_data)
## 
## Coefficients:
##                 Estimate Std. Error t value Pr(>|t|)   
## (Intercept)       3.9525     1.1512   3.433  0.00194 **
## KeyTrialCounter  -0.2731     0.1329  -2.054  0.04973 * 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for gaussian family taken to be 11.30553)
## 
##     Null deviance: 352.97  on 28  degrees of freedom
## Residual deviance: 305.25  on 27  degrees of freedom
## AIC: 156.56
## 
## Number of Fisher Scoring iterations: 2

4E GLM for Trial Completion Time

## 
## Call:
## glm(formula = TrialDuration ~ KeyTrialCounter, data = GLM_data)
## 
## Coefficients:
##                 Estimate Std. Error t value Pr(>|t|)    
## (Intercept)      40.8353     5.8501   6.980 1.67e-07 ***
## KeyTrialCounter  -1.3683     0.6755  -2.026   0.0528 .  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for gaussian family taken to be 291.947)
## 
##     Null deviance: 9080.5  on 28  degrees of freedom
## Residual deviance: 7882.6  on 27  degrees of freedom
## AIC: 250.85
## 
## Number of Fisher Scoring iterations: 2

4E GLM for Inter-Response Intervals

## 
## Call:
## glm(formula = MeanTrialIRI ~ KeyTrialCounter, data = GLM_data)
## 
## Coefficients:
##                 Estimate Std. Error t value Pr(>|t|)    
## (Intercept)      0.97657    0.23131   4.222 0.000246 ***
## KeyTrialCounter -0.01169    0.02671  -0.438 0.665074    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for gaussian family taken to be 0.4564396)
## 
##     Null deviance: 12.411  on 28  degrees of freedom
## Residual deviance: 12.324  on 27  degrees of freedom
## AIC: 63.481
## 
## Number of Fisher Scoring iterations: 2