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predictor | mediator | outcome | |
---|---|---|---|
-0.5799569890194015 | -2.386729068806458 | 0.16615007241450852 | |
-0.9532787019469066 | -1.8704045357635897 | -2.365057031487532 | |
-0.179428586945621 | -0.7802502874626318 | 0.45227260237394107 | |
1.0098082149443033 | 1.120252021425702 | 1.0126134245088094 | |
0.023626614921408818 | 0.46469454732937937 | 1.85270396504268 | |
-0.6490282195839006 | -1.1446117023037912 | -1.0069340694172548 | |
-0.5043742220481909 | 0.4545346010968645 | -1.9860277841931153 | |
1.6143914954583631 | 2.107280493591184 | 2.3169539162841035 | |
-0.446959811255663 | -1.41170770556635 | -0.23362692088530584 |
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predictor | mediator | outcome | |
---|---|---|---|
-1.2070657493854209 | -0.18900934031772498 | -0.9108482691338935 | |
0.27742924211066 | -0.33600385247403014 | 0.6381941682015424 | |
1.084441176683056 | 0.6082140820459894 | 1.8781691743121023 | |
-2.3456977026293493 | -1.6753266337085408 | -3.3202908207934287 | |
0.42912468881105 | -0.6114362427238106 | 0.12936947474859867 | |
0.506055892157574 | 0.4200172258317707 | 1.686535479957183 | |
-0.5747399601346488 | -1.1836346063120828 | 0.08408905976092917 | |
-0.546631855784187 | -0.10513054023633653 | 0.46060044524207233 | |
-0.564451999093283 | 0.07274226146821294 | -0.45904578012362596 |
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-1.2070657493854209 | -0.18900934031772498 | -0.9108482691338935 | |
---|---|---|---|
0.27742924211066 | -0.33600385247403014 | 0.6381941682015424 | |
1.084441176683056 | 0.6082140820459894 | 1.8781691743121023 | |
-2.3456977026293493 | -1.6753266337085408 | -3.3202908207934287 | |
0.42912468881105 | -0.6114362427238106 | 0.12936947474859867 | |
0.506055892157574 | 0.4200172258317707 | 1.686535479957183 | |
-0.5747399601346488 | -1.1836346063120828 | 0.08408905976092917 | |
-0.546631855784187 | -0.10513054023633653 | 0.46060044524207233 | |
-0.564451999093283 | 0.07274226146821294 | -0.45904578012362596 |
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"mediationexample1.csv" |
We can make this file beautiful and searchable if this error is corrected: No commas found in this CSV file in line 0.
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| predictor| mediator| outcome| | |
|----------:|----------:|----------:| | |
| -1.2070657| -0.1890093| -0.9108483| | |
| 0.2774292| -0.3360039| 0.6381942| | |
| 1.0844412| 0.6082141| 1.8781692| | |
| -2.3456977| -1.6753266| -3.3202908| | |
| 0.4291247| -0.6114362| 0.1293695| | |
| 0.5060559| 0.4200172| 1.6865355| | |
| -0.5747400| -1.1836346| 0.0840891| | |
| -0.5466319| -0.1051305| 0.4606004| |
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| predictor| mediator| outcome| | |
|----------:|----------:|----------:| | |
| -1.2070657| -0.1890093| -0.9108483| | |
| 0.2774292| -0.3360039| 0.6381942| | |
| 1.0844412| 0.6082141| 1.8781692| | |
| -2.3456977| -1.6753266| -3.3202908| | |
| 0.4291247| -0.6114362| 0.1293695| | |
| 0.5060559| 0.4200172| 1.6865355| | |
| -0.5747400| -1.1836346| 0.0840891| | |
| -0.5466319| -0.1051305| 0.4606004| |
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f.10 <- log.auc.positive ~ log(CueOrder)*Congruent + (1|Participant) + (0+log(CueOrder)*Congruent|Participant) | |
fit.10.stan <- stan_lmer(f.10, data=dftouse, iter=5000, chains=3) | |
summary(fit.10.stan) | |
fit.10.stan.preds <- posterior_linpred(fit.10.stan, | |
transform=F, | |
re.form=NA) %>% |
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----------------------------------------------------------------------------------------------------------- | |
Participant BlockNo CueOrder Congruent auc auc.positive log.auc log.auc.positive Trial | |
------------- --------- ---------- ----------- -------- -------------- --------- ------------------ ------- | |
1 1 1 FALSE 0 0 0 0 1 | |
1 1 2 TRUE 0 0 0 0 2 | |
1 1 3 FALSE 0 0 0 0 3 |
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require('dplyr') | |
require('rethinking') | |
dmode <- function(x) { | |
den <- density(x, kernel=c("gaussian")) | |
( den$x[den$y==max(den$y)] ) | |
} | |
meanhpdi <- function(x, prob=.95) { | |
i <- rethinking::HPDI(x, prob=prob) |
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https://transfer.sh/B9DqM/5-cfa-part-2.pdf |