TableSubgroupGLM {jstable} | R Documentation |
TableSubgroupGLM: Sub-group analysis table for GLM.
Description
Sub-group analysis table for GLM.
Usage
TableSubgroupGLM(
formula,
var_subgroup = NULL,
var_cov = NULL,
data,
family = "binomial",
decimal.estimate = 2,
decimal.percent = 1,
decimal.pvalue = 3
)
Arguments
formula |
formula with survival analysis. |
var_subgroup |
1 sub-group variable for analysis, Default: NULL |
var_cov |
Variables for additional adjust, Default: NULL |
data |
Data or svydesign in survey package. |
family |
family, "gaussian" or "binomial" or 'poisson' or 'quasipoisson' |
decimal.estimate |
Decimal for estimate, Default: 2 |
decimal.percent |
Decimal for percent, Default: 1 |
decimal.pvalue |
Decimal for pvalue, Default: 3 |
Details
This result is used to make forestplot.
Value
Sub-group analysis table.
See Also
Examples
library(survival)
library(dplyr)
lung %>%
mutate(
status = as.integer(status == 1),
sex = factor(sex),
kk = factor(as.integer(pat.karno >= 70))
) -> lung
TableSubgroupGLM(status ~ sex, data = lung, family = "binomial")
TableSubgroupGLM(status ~ sex, var_subgroup = "kk", data = lung, family = "binomial")
## survey design
library(survey)
data.design <- svydesign(id = ~1, data = lung)
TableSubgroupGLM(status ~ sex, data = data.design, family = "binomial")
TableSubgroupGLM(status ~ sex, var_subgroup = "kk", data = data.design, family = "binomial")
[Package jstable version 1.3.0 Index]