listMissing: flags variables and samples exceeding certain level of...
In shraddhapai/dataExplore: Stats and Viz for Data Exploration
Description
Usage
Arguments
Value
Description
flags variables and samples exceeding certain level of missingness
Usage
1
2
listMissing(x, maxMissVar = 0.25, maxMissSamp = 0.25,
rmMissing = FALSE)
Arguments
x
(matrix or data.frame) rows are variables, columns are samples
rownames must be var names and colnames must be sample names
maxMissVar
(numeric (0.01,1)) vars with greater than maxMiss samples
missing will be flagged
maxMissSamp
(numeric (0.01,1)) samples with greater than maxMissSamp
vars missing will be flagged
rmMissing
(logical) if TRUE remove vars and samples that are missing
Value
if rmMissing is set to TRUE, returns the matrix after removing offending
variables and samples.
Otherwise prints names of such variables and samples to console.
shraddhapai/dataExplore documentation built on March 9, 2020, 9:17 a.m.
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Description Usage Arguments Value
Description
flags variables and samples exceeding certain level of missingness
Usage
1 2 | listMissing(x, maxMissVar = 0.25, maxMissSamp = 0.25,
rmMissing = FALSE)
|
Arguments
x |
(matrix or data.frame) rows are variables, columns are samples rownames must be var names and colnames must be sample names |
maxMissVar |
(numeric (0.01,1)) vars with greater than maxMiss samples missing will be flagged |
maxMissSamp |
(numeric (0.01,1)) samples with greater than maxMissSamp vars missing will be flagged |
rmMissing |
(logical) if TRUE remove vars and samples that are missing |
Value
if rmMissing is set to TRUE, returns the matrix after removing offending variables and samples. Otherwise prints names of such variables and samples to console.
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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