diff --git a/docs/_static/decision_tree_demo_external_regressors_motion_task_models.tex b/docs/_static/decision_tree_demo_external_regressors_motion_task_models.tex index 364366df2..2bb2afaf4 100644 --- a/docs/_static/decision_tree_demo_external_regressors_motion_task_models.tex +++ b/docs/_static/decision_tree_demo_external_regressors_motion_task_models.tex @@ -68,7 +68,7 @@ \node(chrej9)[changeclass, below of=9, xshift=0cm, yshift=-2cm]{Provisional reject}; \node(chacc9)[changeclass, right of=9, xshift=3cm, yshift=0cm]{Provisional accept}; % ----- node: 10 -\node(10)[decision, below of=chacc9,label={150:$node\ 10$},label={[align=center] 310: Reject if\\fits external\\nuissance\\regressors},yshift=-2cm]{F test for\\Nuisance Regressors\\$p_{Full} \leq 0.05$\\$R^2_{Full} \geq 0.5$}; +\node(10)[decision, below of=chacc9,label={150:$node\ 10$},label={[align=center] 310: Reject if\\fits external\\nuisance\\regressors},yshift=-2cm]{F test for\\Nuisance Regressors\\$p_{Full} \leq 0.05$\\$R^2_{Full} \geq 0.5$}; \node(chrej10)[changeclass, below of=10, xshift=0cm, yshift=-2cm, align=center]{External regressors\\$\rightarrow$Provisional reject}; % ----- node: 11 \node(11)[decision, left of=chrej10,label={180:$node\ 11$},xshift=-3cm]{Partial F test for\\Motion Regressors\\$p_{Full} \leq 0.05$\\$R^2_{Full} \geq 0.5$\\$p_{Motion} \leq 0.05$}; diff --git a/docs/included_decision_trees.rst b/docs/included_decision_trees.rst index 607af8e87..837769892 100644 --- a/docs/included_decision_trees.rst +++ b/docs/included_decision_trees.rst @@ -23,9 +23,9 @@ there are two demonstration decision trees that implement this new functionality While these might work well, since they have not yet been validated on data, they are labeled ``demo``. ``decision_tree_demo_external_regressors_single_model`` -demonstrates fitting all nuissance regressors to a single model. +demonstrates fitting all nuisance regressors to a single model. ``decision_tree_demo_external_regressors_motion_task_models`` -demonstrates fitting nuissance regressors to a model, +demonstrates fitting nuisance regressors to a model, partial tests and tagging for components that fit Motion or CSF regressors, and retention of some components that fit task regressors. diff --git a/tedana/resources/decision_trees/demo_external_regressors_motion_task_models.json b/tedana/resources/decision_trees/demo_external_regressors_motion_task_models.json index 6d271dd68..87b548961 100644 --- a/tedana/resources/decision_trees/demo_external_regressors_motion_task_models.json +++ b/tedana/resources/decision_trees/demo_external_regressors_motion_task_models.json @@ -31,7 +31,7 @@ "external_regressor_config": [ { "regress_ID": "nuisance", - "info": "Fits all external nuissance regressors to a single model using an F statistic", + "info": "Fits all external nuisance regressors to a single model using an F statistic", "report": "External nuisance regressors that fit to components using a linear model were rejected.", "detrend": true, "statistic": "F", diff --git a/tedana/resources/decision_trees/demo_external_regressors_single_model.json b/tedana/resources/decision_trees/demo_external_regressors_single_model.json index fb468a7f8..1900ca2e5 100644 --- a/tedana/resources/decision_trees/demo_external_regressors_single_model.json +++ b/tedana/resources/decision_trees/demo_external_regressors_single_model.json @@ -19,7 +19,7 @@ "external_regressor_config": [ { "regress_ID": "nuisance", - "info": "Fits all external nuissance regressors to a single model using an F statistic", + "info": "Fits all external nuisance regressors to a single model using an F statistic", "report": "External nuisance regressors that fit to components using a linear model were rejected.", "detrend": true, "statistic": "F", diff --git a/tedana/tests/test_component_selector.py b/tedana/tests/test_component_selector.py index 36ef349e1..f536339e1 100644 --- a/tedana/tests/test_component_selector.py +++ b/tedana/tests/test_component_selector.py @@ -65,7 +65,7 @@ def dicts_to_test(treechoice): { "regress_ID": "nuisance", "info": ( - "Fits all external nuissance regressors to " + "Fits all external nuisance regressors to " "a single model using an F statistic" ), "report": (