carat | Carat : Collaborative Energy Debugging | Code Inspection library

I used the forecast package to forecast the daily time-series of variable Y using its lag values and a time series of an external parameter X. I found nnetar model (a NARX model) was the best in terms of overall performance. However, I was not able to get the prediction of peaks of the time series well despite my various attempts with parameter tuning.

I then extracted the peak values (above a threshold) of Y (and of course this is not a regular time series anymore) and corresponding X values and tried to fit a regression model (note: not an autoregression model) using various models in carat package. I found out the prediction of peak values using brnn(Bidirectional recurrent neural networks) model just using X values is better than that of nnetar which uses both lag values and X values.

Now my question is how do I go from here to create ensamples of these two models (i.e whenever the prediction using brnn regression model ( or any other regression model) is better I want to replace the prediction using nnetar and move forward - I am mostly concerned about the peaks)? Is this a commonly used approach?

Hi folks. I'm working on a ggplot2 extension that will implement a new faceting method.

I don't want to get into the nitty gritty of the algorithm, but suffice it to say that I need to first compute some new columns for each row of the input data, and only then can I perform a compute_layout and map_data.

Of course, one option is to compute my new columns twice, once inside of compute_layout and once again inside of map_data, but this will be twice as expensive computationally, and just less elegant.

It seems that setup_params and setup_data are meant for this exact use case.

I'm creating a little reproducible example based off this great vignette.

I've just made a small modification that tries to add a hello column to the data using the setup_data function.

I have spent an hour reading a million different posts and can't get a winner. Simply put. I have created an on-screen keyboard. When a user presses a letter button, the letter is inserted at the carat in the input that has focus. This all works fine and I know how to insert all the letters and numbers and spaces but I can't figure out how to backspace at the carat. I know how to take the last character off but that is not effective as I wish it to backspace at the carat.

I will insert the code to show how it is set up... The only part that does not work is the lines in the if ($(this).html() == 'BKSP') block.

PLEASE and THANKS!

My data is dataset diamond:

I have a dataframe as below

I have this pipeline:

Using diamonds as an example, I'd like to group by cut then add a row number for each grouping and then shuffle. Then I'd like to apply a transformation to price, in this case just price + 1 and then I'd like to find the price corresponding to row 1 and make that the value for the entire feature.

Tried:

I can mutate onto a grouped field to get a groupwise min max like so:

I'm interested in using lists to run multiple statistics test with one set of code.

For example, I want to run glm() tests that vary in terms of DVs, IVs, data, and family, based on rows in a data frame / list. I can do this the long way, and I can use lapply() to do this a "medium way" such that I can change the DV used in the test. But I would like to know if there is a method {preferably using lapply()} to complete this task with less code and in a more automated/iterative fashion.

For the example data, I created 2 datasets using the ggplot2::diamonds data and the code below: