BaseSummary: Compute hip-cohort-table-specific individual statistics
In mbadge/hipsMultimodal: Analysis of MSH Hip Data
Description
Usage
Arguments
See Also
Examples
Description
Default stats hardcoded into BaseSummary, additional stats
can be passed to summarise via ...
Usage
1
BaseSummary(x, grp = character(0), ...)
Arguments
x
data.frame, hip cohort table
grp
x_chr, names of grouping columns
...
additional stats to compute
See Also
ComplexSummary
Examples
1
2
3
4
grp_lst <- list(character(0), "sex", "fx", c("sex", "dept"))
map(grp_lst, BaseSummary, x=hips::scalars)
map(grp_lst, BaseSummary, x=hips::scalars, bmi_mean = mean_(bmi))
BaseSummary(hips::scalars %>% filter(fx), grp = c("sex", "device_model"))
mbadge/hipsMultimodal documentation built on May 9, 2019, 12:05 a.m.
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Description Usage Arguments See Also Examples
Description
Default stats hardcoded into BaseSummary, additional stats
can be passed to summarise via ...
Usage
1 | BaseSummary(x, grp = character(0), ...)
|
Arguments
x |
data.frame, hip cohort table |
grp |
x_chr, names of grouping columns |
... |
additional stats to compute |
See Also
ComplexSummary
Examples
1 2 3 4 | grp_lst <- list(character(0), "sex", "fx", c("sex", "dept"))
map(grp_lst, BaseSummary, x=hips::scalars)
map(grp_lst, BaseSummary, x=hips::scalars, bmi_mean = mean_(bmi))
BaseSummary(hips::scalars %>% filter(fx), grp = c("sex", "device_model"))
|
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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