I am following the generalized string below, hardly having any clue to change color, line and symbol types to give contrast to the plot. No good tutorial on par function :(
please help
##Biodiversity.R ##Kindt & Coe 2005
##follow the string below
ranka = rankabundance(data.all)
ranka
rankabunplot(x, scale='abundance', addit= F, specnames= c(1,2,3)) rankabuncomp(data.all, y=data.env, factor='Site', scale ='accumfreq', legend=F, labels(T), lty=2)
I see you already have an answer, but:
a) Have you tried using R commander? Its a gui so easier to use, esp with a plug in like EzR. Then you could explore plug-ins that hlp with graphc visualisation. I mean its always better to learn the scripts, but then you can see in R the commands it generates so you can learn.
b) There are great courses on EdX (a NGO that hosts corses on line from Many great Universities). Some may be too introductory if you already know how to write most of the scripts you need, but they may help in that in the courses there are tutors to assist so you can ask them on the discussion forums... They are free but you can pay for a verified certificate if you choose. Here are some links:
Introduction to R for Data Science (https://www.edx.org/course/introduction-r-data-science-microsoft-dat204x-2)
Data Analysis for Life Sciences using R (https://www.edx.org/xseries/data-analysis-life-sciences)
Programming with R for Data Science (https://www.edx.org/course/programming-r-data-science-microsoft-dat209x-1)
Explore statistics with R (https://www.edx.org/course/explore-statistics-r-kix-kiexplorx-0)
Foundations of Data Analysis - Part 1: Statistics Using R (https://www.edx.org/course/foundations-data-analysis-part-1-utaustinx-ut-7-11x)
Statistics and R (https://www.edx.org/course/statistics-r-harvardx-ph525-1x)
Hi Muntasir,
In the rankabunplot function, there is the "rainbow" argument that controls line colours. The default is TRUE. Probably you don't have (or are not proper indicating) the factors to have different colours. Type ?rankabunplot and ?rankabuncomp in R, for more details.
The parameters should be standard - col (color), lty (line type), lwd (line width), pty (point type). Try:
rankabunplot(x, scale='abundance', addit= F, specnames= c(1,2,3), pty = 15, lwd = 2, lty = 15)), if it changes you need to find out which of the parameters values suits you best.
I see you already have an answer, but:
a) Have you tried using R commander? Its a gui so easier to use, esp with a plug in like EzR. Then you could explore plug-ins that hlp with graphc visualisation. I mean its always better to learn the scripts, but then you can see in R the commands it generates so you can learn.
b) There are great courses on EdX (a NGO that hosts corses on line from Many great Universities). Some may be too introductory if you already know how to write most of the scripts you need, but they may help in that in the courses there are tutors to assist so you can ask them on the discussion forums... They are free but you can pay for a verified certificate if you choose. Here are some links:
Introduction to R for Data Science (https://www.edx.org/course/introduction-r-data-science-microsoft-dat204x-2)
Data Analysis for Life Sciences using R (https://www.edx.org/xseries/data-analysis-life-sciences)
Programming with R for Data Science (https://www.edx.org/course/programming-r-data-science-microsoft-dat209x-1)
Explore statistics with R (https://www.edx.org/course/explore-statistics-r-kix-kiexplorx-0)
Foundations of Data Analysis - Part 1: Statistics Using R (https://www.edx.org/course/foundations-data-analysis-part-1-utaustinx-ut-7-11x)
Statistics and R (https://www.edx.org/course/statistics-r-harvardx-ph525-1x)
Manual of Montana university US is quiet useful giude in this respect
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