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join = function (df_data_BH, df_data_NV, df_info_BH, df_info_NV) {
if (!is.null(df_data_NV) & !is.null(df_data_BH)) {
# Get the station in common
common = levels(factor(df_info_NV[df_info_NV$code %in% df_info_BH$code,]$code))
# Get the Nv station to add
NVadd = levels(factor(df_info_NV[!(df_info_NV$code %in% df_info_BH$code),]$code))
# Select only the NV info to add
df_info_NVadd = df_info_NV[df_info_NV$code %in% NVadd,]
# Join NV data to BH data
df_info = full_join(df_info_BH, df_info_NVadd, by=c("code", "nom", "L93X", "L93Y", "surface_km2", "file_path"))
# Select only the NV data to add
df_data_NVadd = df_data_NV[df_data_NV$code %in% NVadd,]
# Join NV info to BH info
df_data = full_join(df_data_BH, df_data_NVadd, by=c("Date", "Qm3s", "code"))
} else if (is.null(df_data_NV) & !is.null(df_data_BH)) {
df_info = df_info_BH
df_data = df_data_BH
} else if (!is.null(df_data_NV) & is.null(df_data_BH)) {
df_info = df_info_NV
df_data = df_data_NV
} else {
stop('No data')
}
prepare = function(df_data, colnamegroup=NULL) {
colnamegroup = c(colnamegroup)
colindgroup = which(colnames(df_data) == colnamegroup)
df_data = group_by_at(df_data, colindgroup)
data = tibble(Date=df_data$Date,
group=group_indices(df_data),
Qm3s=df_data$Qm3s)
Gkey = group_keys(df_data)
info = bind_cols(group=seq(1:nrow(Gkey)),
Gkey)
reprepare = function(df_dataEx, df_list, colnamegroup=NULL) {
colnames(df_dataEx) = c('Date', 'group', 'Qm3s')
df_dataEx$Date = as.character(df_dataEx$Date)
exDate = df_dataEx$Date[1]
nbt = lengths(regmatches(exDate, gregexpr('-', exDate)))
if (nbt == 1) {
df_dataEx$Date = paste(df_dataEx$Date, '01', sep='-')
} else if (nbt == 0) {
df_dataEx$Date = paste(df_dataEx$Date, '01', '01', sep='-')
} else if (nbt != 2) {
stop('erreur of date format')
}
df_dataEx = bind_cols(Date=as.Date(df_dataEx$Date,
format="%Y-%m-%d"),
df_dataEx[-1],
df_list$info[df_dataEx$group,
2:ncol(df_list$info)])
df_listEx = prepare(df_dataEx, colnamegroup=colnamegroup)
return (df_listEx)
clean = function (df_xTrend, df_list) {
df_xTrend = bind_cols(df_xTrend,
df_list$info[df_xTrend$group1,
2:ncol(df_list$info)])