lmm | A set of scripts for branching and switching active MySQL | Database library

Assuming you want to pick the first one according to the product ID, you can do:

You need to traverse into the hierarchy of lists/maps to alter the inner map and remove the printedOn key/value pair.

Also your json is broken with missing/extra brackets.

The following code:

It is standard for packages like lme4 to implement formula methods whose sole purpose is to extract formula(e) from model objects, so that you don't have to think too much about object internals.

In lme4, there is a formula method for class "merMod", namely lme4:::formula.merMod. There is no method for class "lmerMod", but since "lmerMod" is a direct subclass of "merMod"—you can check with showClass("lmerMod")—the method for "merMod" is called whenever you do formula().

Hence:

This is what I managed to do :

The wrong link was used in the question. The correct link can be found by going to https://osf.io/nkdw5/, then clicking on filter_raw.csv in the Data section, and then copying the link from the download button (upper right of page).

Here the solution that has worked better.

The modelplot function gives you a few basic ways of plotting coefficients and intervals (check the facet argument, for example).

However, the real power of the function comes by using the draw=FALSE argument. In that case, modelplot does the hard job of giving you the estimates in a convenient data frame, with all the renaming, robust standard errors, and other utilities of the modelplot function. Then, you can use that data frame to do the plotting yourself with ggplot2 for infinite customization.

With your shown samples, please try following awk code. Use ternary operator to check if 3rd field is NOT N/A then multiply 1000 to it else leave it as it is.

I did:

The reason is that the object returned by aictab has some more columns then printed with its print method. In the following, I assign the returned table to a variable tb and inspect it with str(). If you use RStudio, you can also see it in the Environment explorer.

Function tab_df just formats the data frame, so we can select, remove or even rename columns according to our needs. The following shows an example. As a small goody, I user-defined names for the models: