researcher | A jekyll based resume template | Theme library

I need to assign 275 variables with the Double type. Is there a way I can paste word Double on all 275 lines at once? I have been pasting Double on each line and its tiring.(I also have to add the underscores to replace spaces in the variable identifiers. If anyone knows a shortcut for that let me know.)

I've begun to maintain a PSQL database that stores data used by researchers for various analyses. I was asked to query this database and provide the results such that all the (one-to-many) joined records appear as separate columns instead of rows.

I found an approach that worked, but it required a lot of manual work. I had to figure out ahead of time the maximum number of child records for the parent, and write out a huge select_list.

Does anyone know a better/dynamic way than this? I'd even take a non-psql approach. My actual query had way more fields and joins than this.

I have the following component that is used in an online science lab.

I am using localStorage just in case the researcher navigates away from the page and then tries to go back. I want the fossilText to stay there in the text editor.

The problem is, there are multiple instances of the editor because they can work on multiple entries and once and also there are many researchers using the app at the same time.

So my localStorage data gets all mixed up and ends up not matching with the correct page.

Is there a way to set localStorage so that it knows what instance it belongs to?

I tried setting the localStorage.setItem('fossilId', fossilId) but that also gets messed up.

Here is my code:

I am trying to get the second last value in each row of a data frame, meaning the first job a person has had. (Job1_latest is the most recent job and people had a different number of jobs in the past and I want to get the first one). I managed to get the last value per row with the code below:

first_job <- function(x) tail(x[!is.na(x)], 1)

first_job <- apply(data, 1, first_job)

Here is part of the txt file I'm working with:

I have a form that is filled in by multiple researchers. I now have (say) two forms that i want to join.

Form one:

This might be the follow up question Enum Join answered by @saeedehp. I have one table full of enum value that is joined together to build some user role column in another table.

Example

Table 1 Enum Table

I am trying to split by date and event columns. It is impossible to search for ". " some lines contain multiple sentences ending with ". " Also, some lines don't start with dates. The idea of ​​the script was to use a regexp to find lines starting with the fragment "one or two numbers, space, letters, period, space" and then replace "point, space" with a rare character, for example, "@". If the line does not start with this fragment, then add "@" to the beginning. Then this array can be easily divided into two parts by this symbol ("@") and written to the sheet.

Unfortunately, something went wrong today. I came across the fact that match(re) is always null. I ask for help in composing the correct regular expression and solving the problem.

Original text:

1 June. Astronomers report narrowing down the source of Fast Radio Bursts (FRBs). It may now plausibly include "compact-object mergers and magnetars arising from normal core collapse supernovae".[3][4]

The existence of quark cores in neutron stars is confirmed by Finnish researchers.[5][6][7]

3 June. Researchers show that compared to rural populations urban red foxes (pictured) in London are mirroring patterns of domestication similar to domesticated dogs, as they adapt to their city environment.[21]

The discovery of the oldest and largest structure in the Maya region, a 3,000-year-old pyramid-topped platform Aguada Fénix, with LiDAR technology is reported.

17 June. Physicists at the XENON dark matter research facility report an excess of 53 events, which may hint at the existence of hypothetical Solar axions.

Desired result:

Code:

I am tasked with organising our lab dataset into CSV files so as to share it with other researchers. This is basically a dataset about people's GPS traces spread across multiple tables.

To best describe the task at hand, I give an example. Table trips contains data about user trips (such as length of a trip), and table sessions stores user's sessions and corresponding GPS traces logged. So that: