# load libraries suppressPackageStartupMessages({ devtools::load_all() library(tidyverse) library(wmo) library(targets) }) # resolve conflicts conflicted::conflict_prefer("filter", "dplyr") # set global chunk options knitr::opts_chunk$set( echo = FALSE, fig.align = "center", message = FALSE, warning = FALSE, out.width = "49%" ) options(knitr.table.format = function() { if (knitr::is_latex_output()) "latex" else "html" }) theme_set(theme_wmo(base_family = "Calibri"))
withr::with_dir(here::here(), { biomass_clean <- tar_read(biomass_clean) biomass <- tar_read(biomass) biomass_equations <- tar_read(biomass_equations) })
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Contributions to cellular biomass were estimated from cell dry weight and previously estimated compositions.
ggplot(biomass_clean) + aes(x = as.factor(date), y = cell_mass) + facet_grid(~toupper(cell_type), scales = "free_x", space = "free_x") + geom_point(alpha = 0.5) + stat_summary( fun.data = "mean_se", geom = "pointrange", color = "red", alpha = 0.8 ) + labs( x = "Date", y = "Cell mass (pg)" )
my_kable( biomass, col.names = c("Cell type", "Biomass (pg/cell)"), caption = "Biomass", digits = 0 )
The biomass equations are:
biomass_equations %>% select(cell_type, eq) %>% my_kable( caption = "Biomass equations", col.names = c("Cell Type", "Equation") ) %>% kableExtra::column_spec(2, width = "6in")
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