journals | simple web-based app | REST library

I am attempting to write a function to find if a document within a mongoose database exists before submitting a query. However, it keeps saying that the document does not exist, even though it does.

I have some high dimensional repeated measures data, and i am interested in fitting random forest model to investigate the suitability and predictive utility of such models. Specifically i am trying to implement the methods in the LongituRF package. The methods behind this package are detailed here :

Capitaine, L., et al. Random forests for high-dimensional longitudinal data. Stat Methods Med Res (2020) doi:10.1177/0962280220946080.

Conveniently the authors provide some useful data generating functions for testing. So we have

I'm trying to make something similar to the iOS notes app but for journaling; basically, I want there to be a list of journal entry cells users can scroll through which each display a detail view after they're clicked on where the user can view and edit their journal entry. The updating works fine, the only issue is that JournalDetailView dismisses itself after updateEntry() is called (after the user taps the "Done" button). I'm guessing this is because updateEntry() forces the view to reload, but I'm not sure how to get around this.

Here's the model:

I'm new to Laravel coming from PHP core I'm trying to load data from the database in my header.blade.php which is included in app.blade.php.

Do I have to return the header data variable in every view? Do I have to write the same code in every controller function which is returning a view?

If there is another way to achieve that please let me know.

Currently, I have loaded data to my dashboard but it is only available to the dashboard. Please help me out.

I have a dataset of academic journals and various related measures. One measure is a Tier, 0-15, that represents "how important" a journal is to our campus (imperfectly, but still).

I want to make a series of scatter plots listing the usage (y) vs. cost (x), but then Facet them by Tier. I can get a Faceted chart to work, but it makes 16 separate charts. I found a way to specify the Sort order, but that seems to only take strings (the GOOG, MSFT example).

What I want is to specify Faceting based on groups of Tiers, which are numeric values - have one graph showing the scatterplot of datapoints, but only with data from those journals in Tiers 1-4. Then another with only Tiers 5-8, then Tiers 9-12, and then 13-15. I can't seem to find a way to specify a grouping of continuous values.

I am creating a journal app. I am trying to fetch the current users journal entries and then convert that into a journal object which will be put into a journal list. Eventually, this journal list will be sent to the RecyclerView Adapter.

I have this piece of code in onCreate():

I have conducted some SPM analysis on a set of gait data, the results show where significant differences occurs across stance regions.

I would like to create a singular horizontal bar that is shaded between the regions where sigficance is identified similar to that in this paper - that is a black block bar between two x-axis locations (indicating the percentage of stance significant difference occurs).

I have managed to produce a something close to what I am after with the following code for one example where significant difference occurs from 20% to 100% of stance:

I would like to draw connecting line(s) between text box label (for example the Journal H text box on my below plot) and the corresponding data points but couldn't figure out a way to do this on R apart from getting it done on PowerPoint/Illustrator. My image looks like this

Here's how my input data looks like:

I have a chkdsk Stage 3 error (which relates to NTFS usn journals and security descriptors).

Corrupted NTFS journals prevent chkdsk /f from running a repair of the volume. So chkdsk repairs won't run and this is not a solution.

However, I have heard the corruption can be repaired by deleting and recreating the NTFS journal. This can be done by executing the following commands at the command prompt or PowerShell with administrator privileges: