sd | Intuitive find & replace CLI | Command Line Interface library

I have a data frame with dates and magnitudes. For every case where the dates are within 0.6 years from each other, I want to keep the date with the highest absolute magnitude and discard the other.

• This includes cases where multiple dates are all within 0.6 years from each other. Like c(2014.2, 2014.4, 2014.5) which should give `c(2014.4) if that year had the highest absolute magnitude.
• For cases where multiple years could be chained using this criterion (like c(2016.3, 2016.7, 2017.2), where 2016.3 and 2017.2 are not within 0.6 years from each other), I want to treat the dates that are closest to one another as a pair and consider the extra date in the criterion as a next candidate for another pair, (so the output will read like this c(2016.3, 2016.7, 2017.2) if 2016.3 had the highest absolute magnitude).

data:

The figure below is a conceptual diagram used by Michael Clark, https://m-clark.github.io/docs/lord/index.html to explain Lord's Paradox and related phenomena in regression.

My question is framed in this context and using ggplot2 but it is broader in terms of geometry & graphing.

I would like to reproduce figures like this, but using actual data. I need to know:

• how to draw a new axis at the origin, with a -45 degree angle, corresponding to values of y-x
• how to draw little normal distributions or density diagrams, or other representations of the values y-x projected onto this axis.

My minimal base example uses ggplot2,

I recently submitted a package to CRAN that passed all the automatic checks, but failed passing the manual ones. One of the errors were the following:

Please do not set a seed to a specific number within a function.

Please do not modifiy the .GlobalEnv. This is not allowed by the CRAN policies.

I believe the lines of code that these comments are referring to are the following

I have a model like this

I have seen many relatable posts for my question but couldn't find the proper solutions. read excel sheet containing multiple tables, tables that have headers with a non white background cell color

here is the link of that excel data: https://docs.google.com/spreadsheets/d/1m4v_wbIJCGWBigJx53BRnBpMDHZ9CwKf/edit?usp=sharing&ouid=107579116880049687042&rtpof=true&sd=true

So far what i have tried:

I have a figure created with facet_wrap visualizing the estimated density of many groups. Some of the groups have a much smaller variance than others. This leads to the x axis not being readable for some panels. Minimum reproducable example:

I have downloaded a list of all the towns and cities etc in the US from the census bureau. Here is a random sample:

Suppose the random variable X ∼ N(μ,σ2) distribution

and I am given the observations x =(0.7669, 1.6709, 0.8944, 1.0321, 0.0793, 0.1033, 1.2709, 0.7798, 0.6483, 0.3256)

Given prior distribution μ ∼ N(0, (100)^2) and σ2 ∼ Inverse − Gamma(5/2, 10/2).

I am trying to give a MCMC estimation of the parameter.

Here is my sample code, I am trying to use Random Walk MCMC to do the estimation, but it seems that it does not converge:

I have a random walk with some drift. My goal is to create a function that adds a column to this data.table labeling the "zone" its in based on its cumulative % gain and % drawdown.