read.data: Load a precipitation series

In lucasvenez/precintcon: Precipitation Intensity, Concentration and Anomaly Analysis

Description

Load a file with a daily or monthly precipitation series.

Usage

read.data(file, sep = ",", dec = ".", header = TRUE, na.value = NA)

Arguments

file	a string containing the file path.
sep	the character applied for delimited columns. (Default value: ",")
dec	the character applied for defined decimal point. (Default value: ".")
header	a logical value defining whether the first line of the file refers to column names. (Default value: TRUE)
na.value	the value used for representing missing values. (Default value: NA)

Value

A data frame containing a representation of the data in the file. The file is addressed as precintcon.daily or precintcon.monthly depending of its structure.

The file should contains three columns when loading monthly series and thirty three columns when loading daily series.

The first columns refers to years and the second one refers to months. When dealing with daily datasets, the thirty one remaining columns refers to the amount of precipitation in the days of the months. Otherwise, the remaining column refers to the amount of precipitation in each month.

Author(s)

Lucas Venezian Povoa [e-mail]

See Also

daily monthly read.table read.csv read.csv2

Examples

##
# Loading a serie on Windows
## Not run: d1 <- read.data("C:\PRECINTCON\203040.csv", sep = ";", dec = ".", header = TRUE)

##
# Loading a serie on Unix-like
## Not run: d1 <- read.data("/home/precintcon/203040.csv", sep = ";", dec = ".", header = TRUE)

lucasvenez/precintcon documentation built on May 21, 2019, 8:53 a.m.