data_transform: data_transform

In jernejjevsenak/dendroTools: Linear and Nonlinear Methods for Analyzing Daily and Monthly Dendroclimatological Data

data_transform

Description

Transforms daily data with two columns (date and variable) into data frame suitable for daily or monthly analysis with dendroTools.

Usage

data_transform(
  input,
  format = "daily",
  monthly_aggregate_function = "auto",
  date_format = "ymd"
)

Arguments

input	typical daily data format: Data frame with two columns, first column represents date, second column represents variable, such as mean temperature, precipitation, etc. Date should be in format Year-Month-Day (e.g. "2019-05-15")
format	character string indicating the desired output format. Should be "daily" or "monthly". Daily format returns a data frame with 366 columns (days), while monthly format returns data frame with 12 columns (months). Years are indicated as row names.
monthly_aggregate_function	character string indicating, how to aggregate daily into monthly data. It can be "mean" or "sum". Third option is "auto" (default). In this case function will try to guess whether input is temperature or precipitation data. For temperature, it will use "mean", for precipitation "sum".
date_format	Describe the format of date. It should be one of "ymd", "ydm", "myd", "mdy", "dmy", "dym".

Value

env_data suitable for daily or monthly analysis with dendroTools.

Examples

data(swit272_daily_temperatures)
proper_daily_data <- data_transform(swit272_daily_temperatures, format = "daily",
   date_format = "ymd")

proper_monthly_data <- data_transform(swit272_daily_temperatures, format = "monthly",
   date_format = "ymd")

data(swit272_daily_precipitation)
proper_daily_data <- data_transform(swit272_daily_precipitation, format = "daily",
   date_format = "ymd")

proper_monthly_data <- data_transform(swit272_daily_precipitation, format = "monthly",
   date_format = "ymd")

jernejjevsenak/dendroTools documentation built on Feb. 2, 2024, 7:13 p.m.