larix: Longitudinal Larix dataset
In skayondo/breed_forest: Statistical Methods for Forest Genetic Resources Analysts

Repeated measurements of microdensity data along 16 years, with climatic covariates.

A dataframe with 11897 observations of the following variables

self id of the tree
dad id of sire
mum id of dam
x, y coordinates (in rows/cols)
rep factor replicate with 8 levels
bl factor block with 40 levels nested within rep
yr factor (growth) year with 16 ordered levels
map mean annual precipitation
mat mean annual temperature
mi martone index
LAS phenotype LAS
DOS phenotype DOS

Each one of the 8 replicate is composed of 5 incomplete blocks, which gives a nested variable with 40 levels.

library(tidyr)
library(dplyr)
library(ggplot2)
data(larix)

## N observations by year and replicate
with(larix, table(yr, rep))

## Mean response evolution by replicate
larix %>%
  group_by(yr, rep) %>% 
  summarise(MLAS = mean(LAS)) %>% 
  ggplot(aes(yr, MLAS, group = rep)) +
  geom_line()
 
## Visualise trial by year
ggplot(larix, aes(x, y)) +
  geom_tile(aes(fill = LAS)) + 
  facet_wrap(~ yr)

## Correlations with environmental variables
if (require(GGally)) {
  ggpairs(larix[, c('map', 'mat', 'mi', 'LAS', 'DOS')])
}