wetland | A Node | Database library

I am wondering if there is a way to read in files from your directory without single quotes around them. My directory has several geodataframes with the same suffix. I can read them all in and append to a list but the list will contain single quotes around each DataFrame name, making it a str.

I am working on a website and have it set to work full screen, but, I wanted to make it responsive. I used a grid and am not sure how this transfers over to responsive. I have the media tags on the bottom of the CSS page and the grid is in the first half of the HTML page. I would like to rearrange the CSS so that when the website is open on the phone that the title is at the top then the image shows up first then some of the article, then another image and then more article.

I have a dataframe of landcover types from year 2010 and 2019. Pland represent the total landcover value, 1 is equal to 100% of that particular area, relative to the id. These calculations are made beforehand, and id represent each geometry.

I want to perform a function that produces another column with these descriptive names, where the * represents the name to be replaced:

I've read several posts about having convergence issues with glmer and I have tried a couple recommended work arounds (changing optimizer, changing model iterations, etc.) but nothing seems to resolve my convergence issue. I was wondering if someone could help me figure out what I am doing wrong?

Data description: The data is count data of Monarch butterfly stages throughout several years at different sites within the year. The data has over 6000 observations, but the number of observations and sites vary across years. The data has several zeros (no Monarch observed) and the data is over dispersed.

Count: Response variable of how many individuals were counted

Year: Factor with 6 levels

Stage: Factor with 7 levels

Site: Random categorical variable. Listed as a random variable because each site is a replicate within the year

Data summary:

I am performing a PLS-DA analysis in R using the mixOmics package. I have one binary Y variable (presence or absence of wetland) and 21 continuous predictor variables (X) with values ranging from 1 to 100. I have made the model with the data_training dataset and want to predict new outcomes with the data_validation dataset. These datasets have exactly the same structure.

My code looks like:

I've a situation where I'm trying to select some scenarios from a dataframe in a single pass. The following code is what I'm using at the moment:

I am performing a splsda-model in R on 10 dataframes (data of 10 study areas), stored as a list (datalist). All these dataframes are similar, with the same variables, but just different values. I use the micromics library to do this.

This is the head of the first study area. It compares the absence or presence of wetlands (factor variable - wetl or no wetl) depending on its value of TPI of different ranges.

I am performing a splsda-model in R on 10 dataframes (data of 10 study areas), stored as a list (datalist). All these dataframes are similar, with the same variables, but just different values.

I have a list of 10 dataframes, called "datalist", on which I want to apply several functions. I am quite new to R. I searched on the internet but can't find the right solution.

The dataframes all have the same variables, like simplified example below: