| Encoding: | UTF-8 |
| Title: | Non-Linear Relative Risk Estimation and Plotting |
| Version: | 0.1 |
| Description: | Estimate the non-linear odds ratio and plot it against a continuous exposure. |
| Depends: | R (≥ 3.2.2) |
| Imports: | rms, Hmisc |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| LazyData: | true |
| NeedsCompilation: | no |
| Packaged: | 2015-11-01 16:56:43 UTC; Zhan |
| Author: | Yiqiang Zhan [aut, cre] |
| Maintainer: | Yiqiang Zhan <zhanyiqiang@gmail.com> |
| Repository: | CRAN |
| Date/Publication: | 2015-11-01 18:47:19 |
Lipid and diabetes
Description
This data set gives the simulated data for lipid, age, gender, and diabetes.
Usage
LipidFormat
A data frame containing 2000 observations.
Source
simulated
References
Not applicable
Odds ratio plot for dose - response non-linear continuous exposure.
Description
Calculates non-linear odds ratio and plot OR vs. a continuous variable.
Usage
nlor(outcome, exposure, covar = NULL, ref = NULL, knum = 4, data)
Arguments
outcome |
the outcome variable |
exposure |
the exposure variable |
covar |
a covariats list |
ref |
reference value for the continuous variable |
knum |
number of knots |
data |
name of a dataset |
Examples
sum1 <- nlor('dm', 'lipid', covar = c('age', 'gender'), 0.6, data = Lipid)
head(sum1)
Odds ratio plot for dose - response non-linear continuous exposure.
Description
Calculates non-linear odds ratio and plot OR vs. a continuous variable.
Usage
nlorplot(exposure, or, data, xlab = NULL)
Arguments
exposure |
the exposure variable |
or |
odds ratio |
data |
name of a dataset |
xlab |
x-axis |
Examples
sum1 <- nlor('dm', 'lipid', covar = c('age', 'gender'), 0.6, data = Lipid)
head(sum1)
nlorplot('lipid', 'or', data = sum1, xlab = 'Lipid')