Add code to the multiverse using the function using a function call, or an assignment operator, which is a wrapper around the function

inside(multiverse, .expr, .label = NULL)



A multiverse object. A multiverse object is an S3 object which can be defined using `multiverse()`


R syntax. All the operations that the user wants to perform within the multiverse can be passed. Since it accepts a single argument, chunks of code can be passed using ``. See example for details.


It is extracted automatically from the code block of type `multiverse` when run in an RMarkdown document. This should be used only within an RMarkdown document. Defaults to NULL.


a multiverse object


The inside function can only access variables which can be accessed at the same environment where the multiverse object was declared in.

To perform a multiverse analysis, we will need to write code to be executed within the multiverse. The `inside()` functions allows us to do this. Use `inside()` to pass any code to the specified multiverse, which is captured as an expression. To define multiple analysis options in the code passed to the multiverse, use the `branch()` function. See branch for more details on how to declare multiple analysis options.

The `inside` function only stores the code, and does not execute any code at this step. To execute, we provide separate functions. See execute for executing the code.

Instead of using the `inside()` function, an alternate implementation of the multiverse is using the assignment operator, `<-`. See examples below.

**Note:** the `inside()` function can only access variables which can be accessed at the same level as the multiverse object. Since `inside()` is merely an interface to add analysis to the multiverse object, even if it is being called by another function, it is actually manipulating the multiverse object, which will have a different parent environment from where `inside()` is called, and hence not have access to variables which might be accessible in the environment within the function from where `inside()` is called.


# \donttest{ M.1 <- multiverse() # using `inside` to declare multiverse code inside(M.1, { data <- rnorm(100, 50, 20) x.mean <- mean(data, trim = branch( trim_values, "trim_none" ~ 0, "trim_1pc" ~ 0.05, "trim_5pc" ~ 0.025, "trim_10pc" ~ 0.05 )) }) M.2 <- multiverse() # using the assignment operator to declare multiverse code inside(M.2, { data <- rnorm(100, 50, 20) }) inside(M.2, { mean <- mean(data, trim = branch( trim_values, "trim_none" ~ 0, "trim_1pc" ~ 0.05, "trim_5pc" ~ 0.025, "trim_10pc" ~ 0.05 )) }) # declaring multiple options for a data processing step (calculating a new variable) data(durante) df <- durante inside(M.1, { df <- df %>% mutate( ComputedCycleLength = StartDateofLastPeriod - StartDateofPeriodBeforeLast ) %>% mutate( NextMenstrualOnset = branch(menstrual_calculation, "mc_option1" ~ StartDateofLastPeriod + ComputedCycleLength, "mc_option2" ~ StartDateofLastPeriod + ReportedCycleLength, "mc_option3" ~ StartDateNext )) }) # }