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# only install the package once, not each time you run the script! | |
#devtools::install_github("MarkusLoew/FitAQ") | |
#install.packages("FitAQ") | |
#clean up list | |
rm(list = ls()) | |
library(FitAQ) | |
library(quantreg) |
# only install the package once, not each time you run the script! | |
#devtools::install_github("MarkusLoew/FitAQ") | |
#install.packages("FitAQ") | |
library(FitAQ) | |
library(quantreg) | |
source("fitAQnew_AG_1606.R") | |
#clean up list | |
#rm(list = ls()) |
# How to fit a photosynthetic light response curve to the upper 95% of data | |
# Markus Löw, June 2020 | |
# using package "FitAQ" from | |
# https://github.com/MarkusLoew/FitAQ | |
# and quantile refression | |
library(FitAQ) | |
library(quantreg) | |
# example data frame with 200 data points from light response curves |
#' Markus Löw, Aug 25, 2017 | |
#' sorting a distance matrix similar to heatmap and heatmap.2 | |
#' without the plotting overhead | |
#' original code from Saro | |
################### | |
library(sommer) | |
library(gplots) | |
################### |
# size of the matrix rows = columns | |
dims <- 8402 | |
# create matrix | |
a <- matrix(NA, nrow = dims, ncol = dims) | |
format(object.size(a), units = "Mb") | |
# add random data, check how long it takes | |
system.time( | |
a[] <- sapply(a[], function(x) runif(1)) |