2.0.0版本的modelsummary
将在future 几天内发布,内置支持.您现在可以安装它:
library(remotes)
install_github("vincentarelbundock/modelsummary")
然后,
library(modelsummary)
fit <- lm(am ~ vs, data=mtcars)
modelsummary(
fit,
statistic = c(
'Std.Error' = 'std.error',
'P val' = 'p.value',
'Lower' = 'conf.low',
'Upper' = 'conf.high'),
gof_map = NA,
shape= term ~ statistic
)
+-------------+-------+-----------+-------+--------+-------+
| | (1) |
+-------------+-------+-----------+-------+--------+-------+
| | Est. | Std.Error | P val | Lower | Upper |
+=============+=======+===========+=======+========+=======+
| (Intercept) | 0.333 | 0.118 | 0.008 | 0.093 | 0.574 |
+-------------+-------+-----------+-------+--------+-------+
| vs | 0.167 | 0.178 | 0.357 | -0.197 | 0.531 |
+-------------+-------+-----------+-------+--------+-------+