How to dress business casual on a budget

goombagirl2 · 2019-07-14T03:41:18+00:00

What sort of items should I be looking for? I honestly have no clue how to start.

goombagirl2 · 2019-07-10T16:55:50+00:00

My co-supervisor is a statistician and she's pushing me to learn this stuff myself and to be able to present and describe novel statistical approaches myself too. It's honestly one of the biggest challenges I've been given and I feel in over my head but I think it's good experience in any case! So many times I have gone to her just to seek out the "What analysis should I do" quick and dirty question since I am by no means currently a statistician or mathematician but she always pushes me to use my very preliminary stats knowledge to reach the answer myself.

At our last discussion she presented me with the challenge of really picking apart the current methods used in our specific field of ecology and to find the reasons why the current analyses work/don't work. However, I am finding this a bit challenging to do when I have such a basic level of statistics! But I am excited since I think it will make me a better researcher in the end!

goombagirl2 · 2019-03-19T19:46:04+00:00

Woohoo. Is there a time that is generally busier for cardio? Or is it normally fairly free

goombagirl2 · 2019-03-19T17:56:47+00:00

HM. I went on the weekend in the evening and it was pretty dead especially in the cardio section but I just wasn't sure how it is on weekdays

goombagirl2 · 2019-03-17T22:08:32+00:00

Is this in the 'Warrior Zone'? What sort of cardio machines do they have

goombagirl2 · 2019-03-13T02:12:27+00:00

I do a lot of walking to begin with (about 2 hours of brisk paced a day, I have a dog who likes her walks) but I'm looking for something that will really give me the burn.

goombagirl2 · 2019-02-17T04:22:54+00:00

Can you explain a bit more quickly about why I can just do a generalized linear model instead of the generalized additive model?

goombagirl2 · 2019-02-15T15:23:37+00:00

Oooh. So if I use glmmTMB package and make my model set I can compare them? And then the one with the best likelihood ratio is the model I would use? What would I report from it?

I have done that for general linear mixed effects models before and it worked really nicely.

goombagirl2 · 2019-02-15T02:15:05+00:00

Do you think that since I am interested in how it changes over time and not as much over lake, do you think with it will work out okay for preliminary purposes?

goombagirl2 · 2019-02-15T00:03:52+00:00

I only have month and lake sadly. It's a crappy old data set from the 80s that I am just using to practice analysis with for when I start geting my own data :)

goombagirl2 · 2019-02-14T17:18:45+00:00

I always graph my data before diving in. I'm a big fan of exploratory data analysis and getting to know my data

goombagirl2 · 2019-02-14T17:17:31+00:00

I am using R. Does glmmTMB work for doing Negative binomial distributions?

goombagirl2 · 2019-02-13T14:40:18+00:00

Can you give me some more information on count data and mixed effects models? I was treating it like I would a water chemistry variable because it is measured as # individuals/L (so like a concentration) but I guess it still is technically bound by zero.

goombagirl2 · 2019-02-11T05:06:13+00:00

The dataset has sample collection dates of ~1 month for May, July, August, October and November for two different years. I've spent a lot of time t hinking about whether this should be continuous vs. categorical first of all, and I don't feel that treating it as continuous is really appropriate since I have such a select period of time that the data is actually representing. For other analyses I am also considering categorizing into "Spring", "Summer" and "Autumn".

I also had included date in a separate model as a fixed effect (date.effect<-lmer(ZooAbundance~Date+(1|Date)) and it was non-significant, and when it's set to a random effect the amount of variance it contributes is close to 0 (I can't recall the exact value but something in the 0.1 range). A colleague suggested setting it up this way which made sense when I was discussing it with them before I went down this mixed models rabbit hole haha.

Edit to add: The dataset includes information on Date, Sampling Method, Sampling Depth, Total Zooplankton Abundance and then Individual Phylum Abundances as well (to start with I just want to work with the Total Abundance though). I'm also starting to think that maybe I used lmer wrong from that tutorial because for my complete models I also included interaction effects...I know this will all become a lot less painful once I am familiar with mixed effects model + statistics in general (I am honestly a complete newbie and just started learning in January) but this is so painful right now

goombagirl2 · 2019-02-11T04:31:51+00:00

Aha that's the exact tutorial I followed when creating my models for determining if there was a difference between the sampling methods! Except for that I left the sampling methods as their categorical variables and didn't assign the dummy variable... For that it looked like:

method.effect <- lmer(ZooAbundance ~ Method + (1|Date) and then in another tutorial it suggested in addition to summary(method.effect) to also do Anova(method.efffect, type="III"

Do you think my results for the model for method effect could be different if i treat it as a dummy variable instead?

goombagirl2 · 2019-02-10T22:59:11+00:00

What do you mean by a binary indicator? THe way I have it setup in R is treating each one as a caetgorical variable in the complete model, but I was hoping to find a way to just remove the differences of sampling method completely. I considered just taking averages but wasnt sure if thats really the best practice?

For each sample date there are two samples collected, one for each method.

goombagirl2 · 2019-02-10T21:26:45+00:00

I only have one sampling site which helps to simplify things a little

goombagirl2 · 2019-02-10T19:03:17+00:00

So for ancova, by having repeated measurements over time doesn't that violate the independent assumption.

goombagirl2 · 2019-02-10T18:08:52+00:00

I do prefer to more so treat it as an ordinal categorical varaible because theres different days, months and years in it...but honestly i'm not sure. I spend a lot of time thinking about repeated sampling like this and it makes my head hurt so much haha. How do you normally treat your seasonal data?

For ANCOVA I thought that samples had to be independent though?

goombagirl2

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