Nothing
## ----include = FALSE----------------------------------------------------------
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>"
)
options(tidyverse.quiet = TRUE)
## ----reading, message=FALSE---------------------------------------------------
library(licoread)
li7500_data <- import7500(
"ex_data/li7500",
plotinfo = c("site", "treatment", "date", "plot_id", "trial")
)
## ----wetair_co2---------------------------------------------------------------
library(fluxible)
li7500_data_co2 <- flux_drygas(li7500_data, `CO2 umol/mol`, `H2O mmol/mol`)
## ----fitting_co2, message = FALSE, warning = FALSE----------------------------
li7500_fits_co2 <- flux_fitting(li7500_data_co2,
f_conc = `CO2 umol/mol_dry`,
fit_type = "linear")
## ----flags_co2----------------------------------------------------------------
li7500_flags_co2 <- flux_quality(li7500_fits_co2,
f_conc = `CO2 umol/mol_dry`,
rsquared_threshold = 0.5)
## ----plotting_co2, message=FALSE, warning=FALSE, fig.cap="Output of `flux_plot` for CO~2~ fluxes"----
flux_plot(li7500_flags_co2,
f_conc = `CO2 umol/mol_dry`,
f_ylim_upper = 500,
y_text_position = 450,
print_plot = TRUE)
## ----plotting_exp_co2_pdf, eval = FALSE---------------------------------------
# flux_plot(li7500_flags_co2,
# f_conc = `CO2 umol/mol_dry`,
# f_ylim_upper = 500,
# y_text_position = 450,
# print_plot = FALSE,
# output = "longpdf",
# f_plotname = "li7500_co2")
## ----calc_co2-----------------------------------------------------------------
li7500_fluxes_co2 <- flux_calc(li7500_flags_co2,
slope_col = f_slope_corr,
temp_air_col = Temperature,
setup_volume = 2197,
atm_pressure = pressure_atm,
plot_area = 1.44,
conc_unit = "ppm",
flux_unit = "umol/m2/s",
cols_keep = c(
"site", "treatment", "date", "plot_id", "trial"
))
## ----wetair_h2o---------------------------------------------------------------
li7500_data_h2o <- flux_drygas(li7500_data, `H2O mmol/mol`, `H2O mmol/mol`)
## ----fitting_h2o, message = FALSE, warning = FALSE----------------------------
li7500_fits_h2o <- flux_fitting(li7500_data_h2o,
f_conc = `H2O mmol/mol_dry`,
fit_type = "linear",
start_cut = 0,
end_cut = 0)
## ----flags_h2o----------------------------------------------------------------
li7500_flags_h2o <- flux_quality(li7500_fits_h2o,
f_conc = `H2O mmol/mol_dry`,
rsquared_threshold = 0.5,
ambient_conc = 10, # the default is for CO2
error = 2)
## ----plotting_h2o, message=FALSE, warning=FALSE, fig.cap="Output of `flux_plot` for H~2~O fluxes"----
flux_plot(li7500_flags_h2o,
f_conc = `H2O mmol/mol_dry`,
print_plot = TRUE,
f_ylim_lower = 5,
f_ylim_upper = 15,
y_text_position = 12)
## ----plotting_h2o_pdf, eval = FALSE-------------------------------------------
# flux_plot(li7500_flags_h2o,
# f_conc = `H2O mmol/mol_dry`,
# print_plot = FALSE,
# output = "longpdf",
# f_plotname = "li7500_h2o",
# f_ylim_lower = 5,
# f_ylim_upper = 15,
# y_text_position = 12)
## ----calc_h2o-----------------------------------------------------------------
li7500_fluxes_h2o <- flux_calc(li7500_flags_h2o,
slope_col = f_slope_corr,
temp_air_col = Temperature,
setup_volume = 2197,
atm_pressure = pressure_atm,
plot_area = 1.44,
conc_unit = "mmol/mol",
flux_unit = "mmol/m2/s",
cols_keep = c(
"site", "treatment", "date", "plot_id", "trial"
))
## ----gpp, warning=FALSE-------------------------------------------------------
li7500_fluxes_co2 <- flux_diff(li7500_fluxes_co2, type_col = trial,
id_cols = c(
"site", "treatment", "date", "plot_id"
), type_a = "p", type_b = "r",
diff_name = "GPP", cols_keep = "all")
## ----trans, warning=FALSE-----------------------------------------------------
li7500_fluxes_h2o <- flux_diff(li7500_fluxes_h2o, type_col = trial,
id_cols = c(
"site", "treatment", "date", "plot_id"
), type_a = "p", type_b = "r",
diff_name = "T", cols_keep = "all")
## ----joining------------------------------------------------------------------
library(tidyverse)
# to avoid confusion, we add a gas column
# this might be implemented in flux_calc in the future
li7500_fluxes_co2 <- li7500_fluxes_co2 |>
mutate(gas = "co2")
li7500_fluxes_h2o <- li7500_fluxes_h2o |>
mutate(gas = "h2o")
li7500_fluxes <- bind_rows(li7500_fluxes_co2, li7500_fluxes_h2o)
# Now the data are in a single long df
## ----str, message=FALSE, echo=FALSE-------------------------------------------
str(li7500_fluxes, width = 70, strict.width = "cut")
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