datexp_assonum: Evaluate the associations (pearson, kendall, spearman or...
In NicolasJBM/datexp: Interface to facilitate data exploration
Description
Usage
Arguments
Value
View source: R/datexp_assonum.R
Description
Evaluate the associations (pearson, kendall, spearman or conditional proability) between several pairs of numeric variables.
Usage
1
datexp_assonum(x, method = "pearson")
Arguments
x
Dataframe or Tibble. Table containing the numeric variables for which the association should be computed.
method
Character string. "pearson", "kendall", "spearman", or "conditional".
Value
A tibble indicating the proportion of missing values per variable.
NicolasJBM/datexp documentation built on May 14, 2019, 10:36 a.m.
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Description Usage Arguments Value
View source: R/datexp_assonum.R
Description
Evaluate the associations (pearson, kendall, spearman or conditional proability) between several pairs of numeric variables.
Usage
1 | datexp_assonum(x, method = "pearson")
|
Arguments
x |
Dataframe or Tibble. Table containing the numeric variables for which the association should be computed. |
method |
Character string. "pearson", "kendall", "spearman", or "conditional". |
Value
A tibble indicating the proportion of missing values per variable.
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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