![Ecological Applications in R](/img/default-banner.jpg)
- Видео 21
- Просмотров 101 191
Ecological Applications in R
Добавлен 3 апр 2020
Lectures for Ecological Applications in R and other fishy things. This channel was created because of the COVID19 shutdown!
Random Forest in R
Methods for running random forest models, partial dependence plots, and cross-validation in R and Rstudio.
Просмотров: 9 304
Видео
Animal Home Range Estimation in R
Просмотров 7 тыс.3 года назад
Minimum convex polygon (MCP) and kernel density estimation (KDE) methods for calculating animal home range in R.
Beta Diversity in R
Просмотров 11 тыс.3 года назад
Overview of the central concepts for beta diversity and how to calculate those in R.
Clustering in R
Просмотров 4,6 тыс.3 года назад
Example of how to use the 'cluster' package to run Ward's clustering and plot the output.
NMDS in R
Просмотров 26 тыс.3 года назад
Creating and plotting non-metric multidimensional scaling (NMDS) using 'vegan' and 'ggplot2' packages in RStudio and R.
PCA in R
Просмотров 5 тыс.3 года назад
How to fit and plot Principal Components Analysis (PCA) in RStudio and R.
Installing Packages
Просмотров 1,8 тыс.3 года назад
Video for troubleshooting installation of packages in R, including updating R, installing from the Comprehensive R Archive Network (CRAN), and installing from GitHub.
Introduction to Ordination
Просмотров 5 тыс.3 года назад
Introduction to ordination methods, including direct gradient and indirect gradient analyses. Emphasis is given to principal components analysis (PCA) and non-metric multi-dimensional scaling (NMDS).
Applied Statistics in R Part 3
Просмотров 5913 года назад
Fitting regression models in R, including lm, glm, glmm, and gam
Applied Statistics in R Part 2
Просмотров 6523 года назад
Goodness of fit tests, ANOVA and post-hoc comparisons, and non-parametric equivalents.
Applied Statistics in R Part 1
Просмотров 1,8 тыс.3 года назад
Tools in R to check for normality of distributions, including kurtosis and skewness.
R for Data Science Lecture
Просмотров 2703 года назад
Overview of data science in R using the Tidyverse framework.
Data Management in R
Просмотров 7213 года назад
Thirteen data management suggestions and how to implement them in R and RStudio.
Introduction to Coding in R Part 2
Просмотров 2523 года назад
Continuation of introduction to coding in R using RStudio.
Very helpful lecture. Thank you.
Thanks for all these videos. Are the R codes for all your lectures in this channel available to download somewhere?
I've been trying to figure out if after an adonis is run is a pairwise adonis is necessary of TukeyHSD. I cant find a lot of information on the subject
Thanks for this simple and perfect explanation!
Fantastic video! Thank you!
Thanks for the useful information
Thanks for the tutorial I am using adehabitatHR, sp and other related spatial package to calculate Home range of individual species through adehabitatHR I am able to generate the MCP and Kernel density home range of individuals. But the output of area calculation is very low e-9 I used the UTM projection for zone 45N please help me.. Even when I change the projection to WGS84 the area remains the same Can you tell me what is wrong
Hello, thanks for uploading this video. It is very useful. I would like to ask what is the reason for a negative value in the LCBD of the replacement component. Is there a link where I can find this information? that would be perfect actually. I am working right now on my thesis and I got a negative value, and I do not know the reason behind this. You can see this in the minute 41:35 of the video. Thanks in advance.
14:33 interpretation of arrows 43:10 interpretation of NMDS plot
My favorite layout: Source top left, console top right. History bottom left and completely minimized because it's needed the least consistently, everything else in bottom right. You get a super tall source pane, a larger console, and everything else can be resized when needed
Thank you so much for the tutorial!! I have been more than a week trying to plot my nmds results correctly !!!
Really nice presentation. I learned a lot. Thanks
It's good to see that ecologists are routinely using third normal form nowadays!
Hello, i have a problem when i try to do the same thing : When i want to use the commands "vegemite", R answer : "Error in vegemite(nms1, spd.ch) : cowardly refusing to use longer than one-character symbols: Use scale" Do you have any idea to correct this ?
Thank you for the great video
Why Euclidean?
This becomes a very useful video !!! Thanks a lot
fort<- fortify(*"PUT-YOUR-MATRIZ"*) ggplot() + geom_point(data = subset(fort, Score=='sites'), mapping = aes(x = NMDS1, y = NMDS2), colour="black", alpha=0.5)+ geom_segment(data = subset(fort, Score == 'species'), mapping = aes(x = 0, y = 0, xend = NMDS1, yend = NMDS2), arrow = arrow(length = unit(0.015, "npc"), type="closed"), colour="darkgray", size =0.8)+ geom_text(data = subset(fort, Score =='species'), mapping = aes(label=Label, x=NMDS1*1.1, y=NMDS2*1.1))+ geom_abline(intercept = 0,slope = 0,linetype="dashed", size=0.8,colour="gray")+ geom_vline(aes(xintercept=0), linetype="dashed", size=0.8, colour="gray")+ theme(panel.grid.major = element_blank(), panel.grid.minor = element_blank(), axis.line = element_line(colour = "black"))
hola, porfavor podrias compartir el código =) -- please can you share the code?... MUY BONITA EXPLICACIÓN
Great lectures, thank you! Do you have any suggestions for working with ecological monitoring data (non-random sampling)?
Great lecture! Thank you
Good morning Sir, your video is fascinating and helpful, is it possible for you to upload the R script or share it in private because I'm a beginner in the R program, so it is difficult to see the video and work on the script? Thanks so much.
Hello. Great video! I saw that in the calculation of LCBD the value of site 1 is negative. The same thing happens to me with my data (some values are negative). This is correct? According to the calculations, it should not give values between 0 and 1? What am I doing wrong? Thank you!
Thanks for the video. I'm getting the following error when I run the autoplot command or when I try to create the "fort" object: Error in rep("sites", nrow(df)) : invalid 'times' argument. Can you help me?
Amazing thank you for sharing! Can you share the code here so we can copy paste? Thank you!
I got an issue trying to install ggvegan: Error: Failed to install 'ggvegan' from GitHub: Multiple results for CXXFLAGS found, something is wrong.FALSE Any help is appreciated.
thank you so much for your fascinated video tutors question, how do we calculate hill numbers in r
please upload more stuff, this is great
I was struggling to execute these R packages for my data and your video helped tremendously with my analysis. Thank you!
This was a great class, and it helped me with my thesis. Thank you
hello sir, I got this error every single run this code please help I am struggling with this Error in arrow(length = unit(0.5, "cm"), type = ("closed"), colour = "darkgray", : unused arguments (colour = "darkgray", size = 0.8)
Very helpful lecture. Thank you.
This was a good explanation. One questions: how do you then write the kernelUD as a shapefile you can put into ArcGIS? The writeShapefile function in maptools is defunct and I'm not able to find a function that would actually do the job...
Great class! Thanks for making your videos available!
may I know the forma of the data set used in this video?
I loved the video, you are very good at explaining.
Hopefully this account will get active back. I'm highly interested with these kind of contents.
This is a fantastic video. Thank you. Even though I have the last version of R on my PC but I couldn't upload "ggvegan"!. Do you have any suggestions about it? Thanks again.
I have the same issue, package ‘ggvegan’ is not available (for R version 4.0.0)
Obrigado. Foi bem explicado!
Great tutorial. How do label the points with the site names? e.g., site 1, site 1, etc rather than showing only the points?
Thank you for the great lectur! But i didnt understand the sites/observation issues. For example lets say i have 2 sites with 30 observations, and i want to know the beta diversity between these sites over these observations, so how the code understands that which observations are from first site or second site so it gives a B-div value? Thanks in advance
I think you have to organise the data such that the "Site" is in rows and the columns will have your count data for your species. It will then calculate one value for the whole row 1, which could be site A and then there will be a calculation on site B (row 2). Correct me if I am wrong!
Ahh, I see what you meant. Actually I think here the data was not sub-set to compare differences between 2 sites, but just taken the overall value. In your case (I did this too), you would have to subset the data to only get your first two categorical variables (sites) and then calculate B-div between them...and so on.
@@rachitsingh98 Yesss i did a lot of subsetting:)
Where to get beta diversity script
Thank you very much for this explanation, it is really very interesting. Can I have your e-mail?
Very useful and nicely explained each steps.
Thank you so much. Do you know what literatures I can use to add this to my paper?
This video is great! thank you! Could you share the code?
Is there a way to contact you?
Thank you very much! Could you share mite data and code?
hello. can you explain how to use remore sensing data in random forest usig r? that is, raster images.
Thank you so much ! it's so helpful !
Thanks a lot