Description Usage Arguments Details Value See Also Examples
Sub-group analysis table for GLM.
1 2 3 4 5 6 7 8 9 10 |
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" |
decimal.estimate |
Decimal for estimate, Default: 2 |
decimal.percent |
Decimal for percent, Default: 1 |
decimal.pvalue |
Decimal for pvalue, Default: 3 |
This result is used to make forestplot.
Sub-group analysis table.
safely
,map
,map2
glm
svyglm
confint
1 2 3 4 5 6 7 8 9 10 11 12 13 | 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")
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