lm_method: LM method
In chapmandu2/pgxsim: Simulate Dose Response Curves For Pharmacogenomics Analysis
Description
Usage
Arguments
Value
Examples
Description
Simple linear regression and return output in standardised form. Requires a data frame
containing a column named gene and a column containing pIC50 data whose name can be
specified using the 'pIC50_col' parameter
Usage
1
Arguments
df
data frame including gene and pIC50 columns
pIC50_col
name of the pIC50 column (default is pIC50)
Value
data frame of results
Examples
1
2
3
4
5
6
7
data("pIC50_data_small")
lm_method(pIC50_data_small)
data("sim_ex1_data")
dat <- sim_ex1_data$data[[1]]
dat
lm_method(dat)
chapmandu2/pgxsim documentation built on May 6, 2019, 10:13 a.m.
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Description Usage Arguments Value Examples
Description
Simple linear regression and return output in standardised form. Requires a data frame containing a column named gene and a column containing pIC50 data whose name can be specified using the 'pIC50_col' parameter
Usage
1 |
Arguments
df |
data frame including gene and pIC50 columns |
pIC50_col |
name of the pIC50 column (default is pIC50) |
Value
data frame of results
Examples
1 2 3 4 5 6 7 | data("pIC50_data_small")
lm_method(pIC50_data_small)
data("sim_ex1_data")
dat <- sim_ex1_data$data[[1]]
dat
lm_method(dat)
|
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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