knitr::opts_chunk$set(echo = FALSE)
## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
## ✔ dplyr 1.1.4 ✔ readr 2.1.5
## ✔ forcats 1.0.0 ✔ stringr 1.5.1
## ✔ lubridate 1.9.3 ✔ tibble 3.2.1
## ✔ purrr 1.0.2 ✔ tidyr 1.3.1
## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## ✖ dplyr::filter() masks stats::filter()
## ✖ dplyr::lag() masks stats::lag()
## ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors
#Summary of Nutrient Values
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 390.0 968.5 1242.0 1381.1 1587.8 4512.0
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 0.540 1.371 1.698 2.036 2.248 6.297
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 0.100 0.400 0.700 1.179 1.300 9.100
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 0.990 2.688 3.505 4.090 4.532 21.990
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 1.300 3.000 4.200 5.359 5.900 23.000
###Histograms for Total N and C lab results using ggplot. Bell curves are added
## Warning: Using `size` aesthetic for lines was deprecated in ggplot2 3.4.0.
## ℹ Please use `linewidth` instead.
## This warning is displayed once every 8 hours.
## Call `lifecycle::last_lifecycle_warnings()` to see where this warning was
## generated.
## NULL
## NULL
##Soil Nutrient mean values vs Fire severity
## `summarise()` has grouped output by 'Month', 'Severity'. You can override using
## the `.groups` argument.
## `geom_line()`: Each group consists of only one observation. ℹ Do you need to
## adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation. ℹ Do you need to
## adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation. ℹ Do you need to
## adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation. ℹ Do you need to
## adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation. ℹ Do you need to
## adjust the group aesthetic?
#Forage Data Summary
## `summarise()` has grouped output by 'Month', 'EcoSite', 'Fire'. You can
## override using the `.groups` argument.
## `summarise()` has grouped output by 'Month', 'EcoSite', 'Fire'. You can
## override using the `.groups` argument.
## `summarise()` has grouped output by 'Month', 'EcoSite', 'Fire'. You can
## override using the `.groups` argument.
## `summarise()` has grouped output by 'Month', 'EcoSite', 'Fire'. You can
## override using the `.groups` argument.