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@ -583,7 +583,7 @@ count_snapshots <- sum(df5$snapshot_count)
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the correlation value is `{r} cor_dur_count` between duration and snapshot count.
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There are `{r} count_snapshots` snapshots in total, spread over
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`{r} length(df5%nct_id)` trials.
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`{r} length(df5$nct_id)` trials.
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The number of categories by trial are
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TODO: add in category names,
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@ -1131,6 +1131,7 @@ distdiff_by_group
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## fixed effects distributions
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```{r}
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#| label: Fixed Effects Distributions
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#Get dataframe with only the rows of interest
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filtdata <- as.data.frame(extract(fit, pars="status_diff"))
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#rename columns
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