homogeneizar_bits: Create standard columns and types from data in BITS...
In tereom/mapacurracy: Computing map accuracies
Description
Usage
Arguments
Value
Examples
Description
Data in different tiles has diferent columns, this function standardizes the
information and variable types.
Usage
1
homogeneizar_bits(datos)
Arguments
datos
data.frame data.frame with data from BITS' shapefiles.
Value
A data.frame with columns edo, oid, id, tile, predicted,
interpreta and area_r.
Examples
1
2
3
4
5
6
7
sampling_frame <- data.frame(id = 1:100,
str = sample(1:5, 100, replace = TRUE),
val = rnorm(100))
allo <- sampling_frame %>%
group_by(str) %>%
summarise(n = 0.4 * n())
select_sample(allo, sampling_frame, n, str)
tereom/mapacurracy documentation built on May 26, 2019, 5:31 a.m.
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Description Usage Arguments Value Examples
Description
Data in different tiles has diferent columns, this function standardizes the information and variable types.
Usage
1 | homogeneizar_bits(datos)
|
Arguments
datos |
|
Value
A data.frame with columns edo, oid, id, tile, predicted,
interpreta and area_r.
Examples
1 2 3 4 5 6 7 | sampling_frame <- data.frame(id = 1:100,
str = sample(1:5, 100, replace = TRUE),
val = rnorm(100))
allo <- sampling_frame %>%
group_by(str) %>%
summarise(n = 0.4 * n())
select_sample(allo, sampling_frame, n, str)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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