hydrotoolbox (version 1.1.2)

interpolate: Interpolation

Description

This function applies interpolation to fill in missing (or non-recorded) values.

Usage

interpolate(
  x,
  col_name,
  out_name = NULL,
  miss_table,
  threshold,
  method = "linear"
)

Value

The same data frame but with interpolated values.

Arguments

x

data frame with class Date or POSIX* in the first column and numeric on the others.

col_name

string with column name of the series to interpolate.

out_name

optional. String with new column name. If you set it as NULL, the function will overwrite the original data frame.

miss_table

data frame with three columns: first and last date of interpolation (first and second column respectively). The last and third column, is of class numeric with the number of steps to interpolate. See report_miss.

threshold

numeric variable with the maximum number of dates in which to apply the interpolation.

method

string with the interpolation method. In this version only 'linear' method is allowed.

Examples

# read cuevas station file
path <- system.file('extdata', 'ianigla_cuevas.csv',
        package = 'hydrotoolbox')

cuevas <- read_ianigla(path = path)

# get the miss_table
miss_data <- report_miss(x = cuevas, col_name = 'Irradiancia')[[1]]

# apply interpolation function when gap is less than 3 hours
cuevas_interpo <- interpolate(x = cuevas,
                              col_name = 'Irradiancia',
                              out_name = 'kin_interpo',
                              miss_table = miss_data,
                              threshold = 3)

report_miss(x = cuevas_interpo,
            col_name = c('Irradiancia', 'kin_interpo'))