Cleaning total and mean. Removing by and other files.

docs/src/R_comparison.md

@@ -58,7 +58,17 @@ svyby(~api00, ~cname, dsrs, svymean)
 ```
 
 ```julia
-by(:api00, :cname, dsrs, mean)
+mean(:api00, :cname, dsrs)
+```
+
+In the following example the total of the variable `api00` is calculated grouped by the variable `cname`. 
+
+```R
+svyby(~api00, ~cname, dsrs, svytotal)
+```
+
+```julia
+total(:api00, :cname, dsrs)
 ```
 
 ## Stratified sample
@@ -117,5 +127,5 @@ svyby(~api00, ~cname, dstrat, svymean)
 ```
 
 ```julia
-by(:api00, :cname, dstrat, mean)
+mean(:api00, :cname, dstrat)
 ```

docs/src/api.md

@@ -23,7 +23,8 @@ quantile
 
 It is often required to estimate population parameters for sub-populations of interest. For example, you make have of heights of people, but you want the average height of male and female separately. 
 ```@docs
-by
+mean(x::Symbol, by::Symbol, design::SimpleRandomSample) 
+total(x::Symbol, by::Symbol, design::SimpleRandomSample) 
 ```
 ```@docs
 plot(design::AbstractSurveyDesign, x::Symbol, y::Symbol; kwargs...)

src/Survey.jl

@@ -20,8 +20,6 @@ include("hist.jl")
 include("plot.jl")
 include("dimnames.jl")
 include("boxplot.jl")
-include("by.jl")
-include("ht.jl")
 include("show.jl")
 
 export load_data