classification_error: Classification error calculator.
In GaoGN517/689_SNP_FastImpute: SNPFastImpute: Perform fast missing value imputation for single nucleotide polymorphism data.
Description
Usage
Arguments
Value
Examples
View source: R/classification_error_function.R
Description
Classification error calculator.
Usage
1
classification_error(df1, df2, NA_positions)
Arguments
df1
The original dataset that contains only true missing values, not introduced
missing values.
df2
The second dataset that has all missing values filled in.
NA_positions
The positions where we introduced NA in the original dataset.
Value
number of incorrectly classified individuals / total number of individuals
Examples
1
2
3
4
5
data("SNP_orig_sub")
data("SNP_NA_df02")
df_fill <- Impute_GenoType_XGBoost(SNP_NA_df02$SNP_NA_df)
NA_positions <- SNP_NA_df02$NP_generate_positions
classification_error(SNP_orig_sub, df_fill, NA_positions)
GaoGN517/689_SNP_FastImpute documentation built on Jan. 2, 2020, 11:44 a.m.
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Description Usage Arguments Value Examples
View source: R/classification_error_function.R
Description
Classification error calculator.
Usage
1 | classification_error(df1, df2, NA_positions)
|
Arguments
df1 |
The original dataset that contains only true missing values, not introduced missing values. |
df2 |
The second dataset that has all missing values filled in. |
NA_positions |
The positions where we introduced NA in the original dataset. |
Value
number of incorrectly classified individuals / total number of individuals
Examples
1 2 3 4 5 | data("SNP_orig_sub")
data("SNP_NA_df02")
df_fill <- Impute_GenoType_XGBoost(SNP_NA_df02$SNP_NA_df)
NA_positions <- SNP_NA_df02$NP_generate_positions
classification_error(SNP_orig_sub, df_fill, NA_positions)
|
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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