NoNA_df: missing values into NAs
In wizbionet/wizbionet: non-coding RNAs data integrator and prioritizer
Description
Usage
Arguments
Value
Author(s)
Examples
Description
This functions changes all kinds of missing values into NAs ("", NULL", "NaN" etc)
Usage
1
NoNA.df(x)
Arguments
x
data frame
Value
data frame will have missing values replaced with NAs
Author(s)
Zofia Wicik
Examples
1
2
3
inputDF<- data.frame( symbols=c('ONECUT2','NEBL','NaN','-','KAT6A','','IGSF10','NEBL'),
values=c(0.01,0.5,0.05,0.001,0.9,0.03,0.06,0.03))
NoNA.df(inputDF)
wizbionet/wizbionet documentation built on Sept. 9, 2020, 12:45 a.m.
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Description Usage Arguments Value Author(s) Examples
Description
This functions changes all kinds of missing values into NAs ("", NULL", "NaN" etc)
Usage
1 | NoNA.df(x)
|
Arguments
x |
data frame |
Value
data frame will have missing values replaced with NAs
Author(s)
Zofia Wicik
Examples
1 2 3 | inputDF<- data.frame( symbols=c('ONECUT2','NEBL','NaN','-','KAT6A','','IGSF10','NEBL'),
values=c(0.01,0.5,0.05,0.001,0.9,0.03,0.06,0.03))
NoNA.df(inputDF)
|
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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