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diff --git a/master/api/niworkflows-workflows-epi-refmap-1.pdf b/master/api/niworkflows-workflows-epi-refmap-1.pdf
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diff --git a/master/api/niworkflows.interfaces.confounds.html b/master/api/niworkflows.interfaces.confounds.html
index 7dda8c37d07..7c03b659ec1 100644
--- a/master/api/niworkflows.interfaces.confounds.html
+++ b/master/api/niworkflows.interfaces.confounds.html
@@ -400,14 +400,14 @@
indicates that the first and second exponential terms should be added.
To retain the original terms, 1 must be included in the list.
variables (list of str) – List of variables for which exponential terms should be computed.
-data (DataFrame) – Table of values of all observations of all variables.
+data (DataFrame) – Table of values of all observations of all variables.
Returns:
variables_exp (list) – A list of variables to include in the final data frame after adding
the specified exponential terms.
data_exp (DataFrame) – Table of values of all observations of all variables, including any
+
data_exp (DataFrame) – Table of values of all observations of all variables, including any
specified exponential terms.
@@ -424,13 +424,13 @@
expression (str) – Formula expression: either a single variable or a variable group
paired with an operation (exponentiation or differentiation).
parent_data (DataFrame) – The source data for the model expansion.
parent_data (DataFrame) – The source data for the model expansion.
Returns:
variables (list) – A list of variables in the provided formula expression.
data (DataFrame) – A tabulation of all terms in the provided formula expression.
data (DataFrame) – A tabulation of all terms in the provided formula expression.
@@ -474,7 +474,7 @@
Temporal derivatives and exponential terms are computed for all terms
in the grouping symbols that they adjoin.
-parent_data (DataFrame) – A tabulation of all values usable in the model formula. Each additive
+
parent_data (DataFrame) – A tabulation of all values usable in the model formula. Each additive
term in model_formula should correspond either to a variable in this
data frame or to instructions for operating on a variable (for
instance, computing temporal derivatives or exponential terms).
@@ -484,7 +484,7 @@
variables (list of str) – A list of variables included in the model parsed from the provided
formula.
data (DataFrame) – All values in the complete model.
data (DataFrame) – All values in the complete model.
@@ -498,7 +498,7 @@
- Parameters:
-data (DataFrame) – A tabulation of observations from which spike regressors should be
+
data (DataFrame) – A tabulation of observations from which spike regressors should be
estimated.
criteria (dict of (str, '>' or '<' or float)) – Criteria for generating a spike regressor. If, for a given frame, the
value of the variable corresponding to the key exceeds the threshold
@@ -525,7 +525,7 @@
data – The input DataFrame with a column for each spike regressor.
- Return type:
-DataFrame
+DataFrame
References
@@ -551,14 +551,14 @@
To retain the original terms, 0 must be included in the list.
variables (list of str) – List of variables for which temporal derivative terms should be
computed.
-data (DataFrame) – Table of values of all observations of all variables.
+data (DataFrame) – Table of values of all observations of all variables.
Returns:
variables_deriv (list) – A list of variables to include in the final data frame after adding
the specified derivative terms.
data_deriv (DataFrame) – Table of values of all observations of all variables, including any
+
data_deriv (DataFrame) – Table of values of all observations of all variables, including any
specified derivative terms.