Closed jtpolish closed 3 years ago
Hi @jtpolish . Yes you can definitely do that! You'll have to read in the fantasy data into a data frame first and then just assign the fpts_proj
column to that data. It would look something like this:
library(coach)
library(readr)
# read in the fantasydata
myprojs <- read_csv("path/to/fantasydata.csv")
# all your other normal coach stuff
...
# add your custom projections to the data (assuming the fantasy data col with projections is called "fpts"
data$fpts_proj <- myprojs$fpts
# continue on with optimization
...
Does that help? If you attach the fantasydata here I can also take a look and give you more detailed code instructions. Let me know.
Hi @jtpolish . Yes you can definitely do that! You'll have to read in the fantasy data into a data frame first and then just assign the
fpts_proj
column to that data. It would look something like this:library(coach) library(readr) # read in the fantasydata myprojs <- read_csv("path/to/fantasydata.csv") # all your other normal coach stuff ... # add your custom projections to the data (assuming the fantasy data col with projections is called "fpts" data$fpts_proj <- myprojs$fpts # continue on with optimization ...
Does that help? If you attach the fantasydata here I can also take a look and give you more detailed code instructions. Let me know.
Zamorarr,
You are a lifesaver! It worked like a charm :) Thank you for your help
Hi, I was wondering if you might be able to help me manually load fpts_proj projections rather than use: set.seed(100) n <- nrow(data) data$fpts_proj <- rnorm(n, data$fpts_avg) View(data)
I have a subscription to fantasydata.com and would like to input their projections manually.
Thank you for your help!