![]() ![]() Y_obs = pm. Minimum working example import pymc3 as pmĭata = pd.DataFrame()įormula = "y ~ group + sex + C(participant)"īeta = pm.Normal("beta", mu=0, sd=10, shape=(n_cols,1)) Select and rename a selection of variables Source: R/colwise-select.R renameif (), renameat (), and renameall () have been superseded by renamewith (). The variable names can be unquoted ( newname oldname ) or quoted (. ![]() I’d be grateful if you expand a bit on how to use those arguments. One or more expressions, separated by commas, indicating the variables to rename. Selecting by position is not generally recommended, but rename () ing by position can be very useful, particularly if the variable names are very long, non-syntactic, or duplicated. Although I found the explanation in the docs about dims and coords rather concise and abstract and I’ve not been able to figure out how it works. There are now five ways to select variables in select () and rename (): By position: df > select (1, 5, 10) or df > select (1:4). Renaming variables is useful, especially when creating graphics. I think this is zooming in on what I’m after. ![]()
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