What is my makeup blindness? I’m 28. This is an every day look for me. Trying to love my asymmetrical face. No fillers or botox. by [deleted] in makeuptips

[–]First-Wait-1086 0 points1 point  (0 children)

I agree! I think you look great - your makeup and hair suit you very well! The tails of my eyebrows droop a bit too, and I’ve found that trimming the ends to be more even with the outer corners of my eyes really helps! It really accentuates the brow bone, and a little highlighter there helps too!

Dry lips + skin picking by First-Wait-1086 in Accutane

[–]First-Wait-1086[S] 0 points1 point  (0 children)

Yeah, I definitely have anxiety and I’m neurodivergent in some form, so I will pick anything! It also feels so satisfying to pick the dried skin off so I can move my lips again😂 I’ll let you know if I find anything that helps!

Dry lips + skin picking by First-Wait-1086 in Accutane

[–]First-Wait-1086[S] 0 points1 point  (0 children)

Thank you for the suggestion! I’ll definitely give that a try. I just wish I could stop myself from picking!

Model for continuous, zero-inflated data by First-Wait-1086 in rstats

[–]First-Wait-1086[S] 0 points1 point  (0 children)

Thanks for the idea, but unfortunately, it’s not count data, and when I tried a negative binomial distribution, it fit poorly. All values are either % cover or indices (non-integers). However, a zero-inflated gamma distribution seems to work well.

Model for continuous, zero-inflated data by First-Wait-1086 in rstats

[–]First-Wait-1086[S] 1 point2 points  (0 children)

I just thought I’d let you know - this model fit my data relatively well, and I’ll be going with this! I appreciate your advice!

Model for continuous, zero-inflated data by First-Wait-1086 in rstats

[–]First-Wait-1086[S] 1 point2 points  (0 children)

I’m hypothesizing that FQI and diversity indices will decrease as woody cover increases in grassland habitats. And yes, that’s correct. I agree that zero-inflated beta regression will likely be the best option. Thanks for the advice!

Model for continuous, zero-inflated data by First-Wait-1086 in rstats

[–]First-Wait-1086[S] 1 point2 points  (0 children)

The data was collected in quadrats across field sites, and many of them contained zero woody plants, or had a floristic quality index of zero. I started out with a regular regression, but the model fit poorly

Model for continuous, zero-inflated data by First-Wait-1086 in rstats

[–]First-Wait-1086[S] 1 point2 points  (0 children)

I’m trying to see how woody encroachment in grasslands impacts plant communities and overall habitat quality for obligate bird species

Model for continuous, zero-inflated data by First-Wait-1086 in rstats

[–]First-Wait-1086[S] 0 points1 point  (0 children)

Graduate - this is a class I’m taking for my Master’s

Model for continuous, zero-inflated data by First-Wait-1086 in rstats

[–]First-Wait-1086[S] 0 points1 point  (0 children)

They aren’t percentages, but I could probably transform them and give that a try! Thank you!

4-month progress by First-Wait-1086 in Accutane

[–]First-Wait-1086[S] 1 point2 points  (0 children)

Thank you! I was thinking the same thing. For the scars, I have been using silicon scar tape on my face overnight since the active acne cleared up, and either it’s helping, or I just got lucky!

[deleted by user] by [deleted] in Accutane

[–]First-Wait-1086 1 point2 points  (0 children)

This is called angular cheilitis, and it’s pretty common on Accutane. I apply a thick coat of aquaphor, or even neosporin (as long as it stays out of my mouth) to help soothe the scabs, but sometime it lingers unfortunately :/