#' Return the avg ret and variance for individual stocks
#'
#' This function takes a dataframe with stock returns and calculates the mean
#' return and the standard deviation of the return for each stock.
#' @param df the dataframe to be manipulated
#' @param st.dev FALSE--returns variance, else, sd.
#' @keywords finance mean sd
#' @import magrittr
#' @import dplyr
#' @export
#' @examples
#' tic_summ()
#'
# first make a matrix with the stand alone avg return and variance
tic_summ <- function( df, st.dev = FALSE ) {
s_m <- df %>% summarise_if(is.numeric, funs(mean) ) %>% gather(key = tic, value = mean )
if (st.dev == FALSE) {
s_var <- df %>%
summarise_if(is.numeric, funs(var) ) %>% gather(key = tic, value = var )
} else {
s_var <- df %>%
summarise_if(is.numeric, funs(sd) ) %>% gather(key = tic, value = sd )
}
out.df <- merge(s_m, s_var)
}
# old version
# tic_summ <- function( data_df, date_var = "date_id" ) {
#
# data_df %<>% select_( paste0("-",date_var) )
#
# s_m <- summarise_all(data_df, funs(mean) ) %>% gather(key = tic, value = mean )
# s_sd <- summarise_all(data_df, funs(sd) ) %>% gather(key = tic, value = sd )
#
# out.df <- merge(s_m, s_sd)
#
# }
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