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Hugo helps keeping results from data analysis in the right order.

Example

library("hugo")
# hugo: I'm Hugo v. 1.0. Ready to work.

hugo_start_investigation("iris_again")
# hugo: I've created a directory iris_again. 
# hugo: Will store there important data

daneO <- hugo_read_data("http://biecek.pl/R/dane/daneO.csv")
# hugo: I've read a data.frame with 97 rows and 9 columns
# hugo: copy of it is stored in iris_again/data/daneO

model <- lm(y ~ ., data = daneO)
hugo_memorise(model)
# hugo: copy of the model object is stored in iris_again/data/model


hugo_train_model(daneO, y ~ .)
# hugo: Following variables are related with y
# hugo: x1 (0.95), x5 (0.55), x3 (0.15), ...


hugo_continue_investigation("iris_again")
# hugo: following objects are restored: daneO, model