continuous_turing_error: Probabilistic Turing Error for continuous data
In heliopais/turingerror: Probabilistic Turing Error
Description
Usage
Arguments
Value
Description
Probabilistic Turing Error for continuous data
Usage
1
2
continuous_turing_error(d, weight_column, obs_column, estimate_columns,
min_weight = NULL, min_sample_size = 1000)
Arguments
d
data frame with data
weight_column
name of the column with weights per item
obs_column
name of column with observed (continuous) values
estimate_columns
names of the columns that have predicted values
min_weight
minimum weight per item
min_sample_size
minimum number of random samples (and tests) generated
Value
turing error
heliopais/turingerror documentation built on May 17, 2019, 3 p.m.
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.
Description Usage Arguments Value
Description
Probabilistic Turing Error for continuous data
Usage
1 2 | continuous_turing_error(d, weight_column, obs_column, estimate_columns,
min_weight = NULL, min_sample_size = 1000)
|
Arguments
d |
data frame with data |
weight_column |
name of the column with weights per item |
obs_column |
name of column with observed (continuous) values |
estimate_columns |
names of the columns that have predicted values |
min_weight |
minimum weight per item |
min_sample_size |
minimum number of random samples (and tests) generated |
Value
turing error
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.