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Update finelitterfall_teaching.r #2

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38b1cc6
Update finelitterfall_teaching.r
harrietatherton5 Feb 29, 2024
84a6e48
Update finelitterfall_teaching.r
harrietatherton5 Feb 29, 2024
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10 changes: 5 additions & 5 deletions fine_litter_fall/finelitterfall_teaching.r
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Expand Up @@ -50,14 +50,14 @@ library(tools)
library(lubridate)
# Set your working directory (the file where your data, code and functions.r are located )
# Be careful to use / and not \
setwd("F:/Side_project/african_data_workshop/gem_code_examples/fine_litter_fall/")
setwd("/Users/harrietatherton/Documents/Malhi_RA/GitHub/gem_code_examples/fine_litter_fall")

# Load pre prepared functions
source("functions_flf_v2.r")

# Load your data.
# Since we are in the right directory, we can just write the name of the dataset
data_flf_name<-'flf_20190201_XXX.csv'
data_flf_name<-'/Users/harrietatherton/Documents/Malhi_RA/GitHub/gem_code_examples/fine_litter_fall/flf_20190201_XXX(example).csv'

# Use the right separator for your data, depends on how you saved the .csv file (comma separator or ; separator)
data_flf <- read.csv(data_flf_name) %>%
Expand Down Expand Up @@ -161,9 +161,9 @@ colnames(All_npp)<-str_replace_all(old_col_name,'_g_per_trap','_MgC_ha_month')
if(max(All_npp$DaysBetween,na.rm = TRUE)>60){
warnings("Check your time interval, there are very large value")}



write.csv(All_npp, file=paste0(data_flf$plot_code[1], "_fine_litter_fall_NPP_finest.csv"))
##Installing xlsx package to write.xlsx
library("openxlsx")
write.xlsx(All_npp, file=paste0(data_flf$plot_code[1], "_FLFNPP.xlsx"))

#There is no standard error because it is the finest resolution. We recommend to calculate standard error with

Expand Down