pipe-op | Adding the pipe operator to rust-lang as a macro | Reflection library

I seem to have some issue with using the %<>% pipe.

Per the magrittr documentation

The compound assignment pipe-operator, %<>%, is used to update a value by first piping it into one or more rhs expressions, and then assigning the result. For example, some_object %<>% foo %>% bar is equivalent to some_object <- some_object %>% foo %>% bar. It must be the first pipe-operator in a chain, but otherwise it works like %>%.

However, I am seeing behavior that contradicts this. Here's my counterexample (apologies that it's directly from my code)

There is a functionality in my package that should be used with caution.

The user should be aware of this but if he/she thinks that the situation is OK then it would be bothering to show the warning each time the function is called.

I often see warnings that are displayed only once. They are quite painful to debug so I couldn't find a reproducible example (I'll add one if I get any) but they show a specific warning message, followed by the rlang info:

This warning is displayed once per session

There are a lot of help wanted to debug those messages (for instance here, here, or here, just google "r This warning is displayed once per session")

I think that the package lifecyle often uses those for soft-deprecation, but I wasn't able to discover the trick in lifecycle:::lifecycle_build_message.

How can I throw such a warning in my package?

EDIT:

Here is a reproducible example. You have to restart your R session for it to show again. As you can see, options(warn=2) had no impact.

I'd like to list all Functions my package in a table.

So far I extracted all functions and title from the packages help docs

I'm trying to plot a dyGraph using the lungDeaths timeseries, but I want "mdeaths" and "fdeaths" to be on the secondary axis, if at least one of them is selected alongside "ldeaths".

Here's a working example:

global.R

I'm looking for a way to conditionally pass only one argument to a function (one of three choices). Based on the choice, I want to simply create a variable in the dataset. Lets say we have the following dataset:

In a Perl script, I want to execute a system command and write the output in the console. Here is a snippet who reproduce the behavior of my script:

Read these two posts already:

• can dplyr package be used for conditional mutating?
• R Conditional evaluation when using the pipe operator %>%

I'm using Shiny input$selector and if the user has selected a particular value, I want my dataframe to be different than otherwise.

Here's a chain:

I want to plot 2 ts-objects as bars and lines, respectively, using 2 y-axes. How can I do this in ggplot?

I have 2 ts-objects: one is the value of a variable, the other is the annual change. The data are monthly. I would like to plot both ts-objects into one graph, the value as line, the growth rate as bars. For this, I need a secondary y-axis, because the scales of the two variables are very different.

I usually plot ts-objects using ts.plot, which easily accommodates a secondary y-axis, but there I can't plot bars, only lines.

With ggplot, I struggle on how to use a ts-object... Using autoplot, I can produce a plot and a secondary axis, but the latter really seems independent of my data. How can I have the line and the bars overlap in the following example?

I am writing a package that uses tidyverse functions, i.e. that use non-standard evaluation, like dplyr::filter for example: