nativity | A festive app using React Native baby | Frontend Framework library

I am attempting to conduct a t test in R to try and determine whether there is a statistically significant difference in salary between US and foreign born workers in the Western US. I have 2 different data frames for the two groups based on nativity, and want to compare the column variable I have on salary titled "adj_SALARY". For simplicity, say that there are 3 observations in the US_Born_west frame, and 5 in the Immigrant_West data frame.

I am attempting to analyze data from the National Health Interview Survey to look at the association between nativity and salary. To do so, I need to use the survey package in R to account properly for weighting, strata, etc... I have written the code with the survey function but can't seem to get a regression to run since I am given the error message:

"Error in onestrat(x[index, , drop = FALSE], clusters[index], nPSU[index][1], : Stratum (6001) has only one PSU at stage 1"

I'm not sure what to fix and hoping someone can help! Here is the code I have run so far

I'm trying to create a two-level sunburst/doughnut diagram (for print) where the second level is a detailed view of the first. I've read and understood this tutorial, but I'm an R and ggplot2 newbie and am having trouble producing the second level. In the aforementioned article, the root level only has one element (which is a bit redundant), whereas my root has many elements; of which, the secondary level has at least 1 and up to 10 elements.

Let's say my data has three columns: name, type and value; where name and type define the root and second level elements, respectively. Each name has exactly one type of all, which is the summation of the values across over types (of which, there's at least one and, across names the sets of type may intersect or be mutually exclusive). For example:

I'm writing a function that calculates how many days ago a given date was from today. (e.g. yesterday = 1, last week = 7, today = 0, tomorrow = -1 and so on)

Seemed simple enough, and using the JavaScript Date() function I initially wrote this: