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Question: why is the (deleted) foo move-constructor not selected (so that it fails to compile) ?

Because the lambda's definition is defaulted and not explicitly deleted, therefore overload resolution is tuned to ignore it.

[over.match.funcs.general]

8 A defaulted move special member function ([class.copy.ctor], [class.copy.assign]) that is defined as deleted is excluded from the set of candidate functions in all contexts.

It's hard-coded into the language since C++11 and move semantics being introduced. Otherwise, older code that was written prior to move operations being available (and that would have had the move operations implicitly deleted) would silently break on upgrade. Bad.

You had a typo, needed req(), and not updatePickerInput() just pickerInput. Try this

You can check the repeat property of the event, which

… is true if the given key is being held down such that it is automatically repeating.

(but notice the compatibility notes on auto-repeat handling)

There must be many ways to achieve that, from the top of my mind what I could think of is something like this:

Create a variable where you will save the current focused element.

let focusedEl = null;

Add a mouseover event to all elements you wish to be clickable, in my case here for testing purposes I used button, but you can apply this to any element of your wish.

const mouseOverHandler = (evt) => focusedEl = evt.currentTarget;

Also add a mouseOut function to set the focused element to null again.

Then you apply a keydown event listener to the document to make the focusedEl clickable document.addEventListener('keydown', keyDownHandler );

To test this, mouseover any of the buttons and press the key a, you should have a console log Button 1 clicked

Make sure document is on focus. window.focus()

Here is the full code

The problem is the mean command. Looking at the help for it with ?mean it says:

x
An R object. Currently there are methods for numeric/logical vectors and date, date-time and time interval objects. Complex vectors are allowed for trim = 0, only.

But you want to calculate the mean for three rows of a data frame.

I'm not entirely sure if the following is what you want, but you can unlist your data frame so that it is a vector. The division by p_true is then recycled to the length of this vector. You can then combine the result again into a data frame:

The design is character class. Should the formula be reversed? Based on the ?lm documentation

Models for lm are specified symbolically. A typical model has the form response ~ terms where response is the (numeric) response vector and terms is a series of terms which specifies a linear predictor for response

Can you confirm that

1. transect (in the expected output) is the same thing as sample_site (in the incoming dataset
2. The expected dataset (which has values for "BLC" species) wasn't produced from the incoming dataset (which doesn't).

If so, dplyr's group_by() and summarize() is all you need.

One way is to use time.time to measure how much time has passed (will print 'hi' every 5 seconds or so, this is less precise because if some part of the loop takes more time, it may print later than expected):

I would just use smooth_estimates() and its draw() method to plot a single smooth from the model. You can then add to it using standard ggplot2 functionality...