Summarise multiple values to a single value.
Description
Summarise multiple values to a single value.
Usage
1 2 3 4 
Arguments
.data, 
tbl A 
... 
Namevalue pairs of summary functions 
.dots 
Used to work around nonstandard evaluation. See

Details
Summarise for tbl_svy
objects accepts several specialized functions.
Each of the functions a variable (or two, in the case of
survey_ratio
), from the data.frame and default to providing the measure
and its standard error.
The argument vartype
can choose one or more measures of uncertainty,
se
for standard error, ci
for confidence interval, var
for variance, and cv
for coefficient of variation. level
specifies the level for the confidence interval.
The other arguments correspond to the analagous function arguments from the survey package.
The available functions are:
survey_mean

Calculate the survey mean of the entire population or by
groups
. Based onsvymean
. survey_total

Calculate the survey total of the entire population or by
groups
. Based onsvytotal
. survey_ratio

Calculate the ratio of 2 variables in the entire population or by
groups
. Based onsvyratio
. survey_quantile

Calculate quantiles in the entire population or by
groups
. Based onsvyquantile
. survey_median

Calculate the median in the entire population or by
groups
.svyquantile
. unweighted

Calculate an unweighted estimate as you would on a regular
tbl_df
. Based on dplyr'ssummarise
.
Examples
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18  library(survey)
data(api)
dstrata < apistrat %>%
as_survey_design(strata = stype, weights = pw)
dstrata %>%
summarise(api99 = survey_mean(api99),
api00 = survey_mean(api00),
api_diff = survey_mean(api00  api99))
dstrata_grp < dstrata %>%
group_by(stype)
dstrata_grp %>%
summarise(api99 = survey_mean(api99),
api00 = survey_mean(api00),
api_diff = survey_mean(api00  api99))
