library(dplyr);
summarise(mtcars, avg = mean(mpg));
df_summarise <- function(data=mtcars,name='avssg',fun=mean,field='mpg'){
data <- substitute(data);
fun <- substitute(fun);
expr <-paste('res <- summarise(',data,",", name,'=', fun,'(',field,'));',sep = "")
expr <-R_expr(expr);
R_exec(expr);
return(res);
}
bb <-df_summarise(data=mtcars,
fieldName=c('mpg','cyl','disp'),
funName=c('mean','sum','length'),
fieldCaption=letters[1:3]
);
class(bb);
?summarise;
data=mtcars,
fieldName=c('mpg','cyl','disp');
funName=c('mean','sum','length');
fieldCaption=letters[1:3];
names(mtcars);
count(mtcars,mpg,disp,cyl);
paste(fieldName,collapse = ",");
df_count(data=mtcars,
fieldName=c('mpg','cyl','disp')
);
summarise_all(mtcars,sum,length);
bb <-df_summarise_allCols_oneFun(mtcars,sum);
class(bb);
df_summarise_cols_funs();
summarise_at(.tbl = mtcars,fieldName,sum);
df_summarise_cols_oneFun(data=mtcars,
fieldName=c('mpg','cyl'),length);
df_summarise;
?summarise_if;
mtcars %>%
group_by(cyl,disp) %>%
summarise(avg = mean(mpg),sum=sum(disp));
lag(letters);
df_groupBy_summarise_cols_funs(mtcars,
gp_fieldName = c('mpg','cyl','disp'),
gp_fieldCaption = c('gp1','gp2','gp3'),
funName = c('sum','sum','sum'),
summ_fieldCaption = c('sum1','sum2','sum3'));
data1 <-data.frame(fname=letters[1:10],fage=21:30,stringsAsFactors=F);
data2 <-slice(data1,5:10);
data2 <-rbind(data2,data.frame(fname=letters[11:20],fage=31:40,stringsAsFactors=F));
setdiff(data1,data2);
setdiff(data2,data1);
intersect(data1,data2);
union(data1,data2);
union_all(data1,data2);
setdiff;
intersect;
iris %>% group_by(Species,Petal.Width) %>%
top_n( 2, Sepal.Width)
iris;
df_groupBy_topN(data = iris,gp_fieldName = 'Species',order_fieldName = 'Sepal.Width',N = 2
);
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