summarise_vals: summarise values as mean, mode, or sum by a group vector

In mathosi/jj: Just Joise

summarise values as mean, mode, or sum by a group vector

Description

jj_summarize_sparse_mat calculates the sum or mean of values for each group in a sparse matrix. jj_summarize_vector summarizes a vector based on a group vector jj_summarize_dataframe summarizes each column in a data.frame based on a group vector

Usage

jj_summarize_sparse_mat(
  summarize_obj,
  summarize_by_vec,
  method = "mean",
  return_matrix = TRUE
)

jj_summarize_vector(
  summarize_obj,
  summarize_by_vec,
  method = "mean",
  order = T,
  return_vec = F
)

jj_summarize_dataframe(summarize_obj, summarize_by_vec, method = "mean")

Arguments

summarize_obj	sparse matrix, vector, or data.frame
summarize_by_vec	vector with group annotation, has to have length equal to ncol(sparse_mat)/nrow(data.frame)/length(vector)
method	method used to summarize. Only mode available for non-numeric vectors, sum/mean for sparse matrix and mode/mean/median for numeric vectors
return_matrix	return as matrix instead of sparse matrix
order	order the summarized vector by the groups
return_vec	return only summarized vector instead of data.frame with summarized vector and groups

Examples

df = data.frame(a=seq(1,5), b=c('a','b','b','b','a'), d=c(3,0,0,1,5))
jj_summarize_vector(df$d, df$b, method='mean')
jj_summarize_dataframe(df, df$b)

mathosi/jj documentation built on Feb. 25, 2024, 2:29 p.m.