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Tanushree Tunstall 2022-08-01 13:41:43 +01:00
parent 79c261963b
commit e750ee59aa
2 changed files with 7 additions and 3 deletions
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2
scripts/plotting/mcsm_mean_affinity_ensemble.R
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@ -103,7 +103,7 @@ cols_to_extract = cols_to_consider[cols_to_consider%in%c(common_cols
# Ensemble affinity # Ensemble affinity
##################### #####################
# extract outcome cols and map numeric values to the categories # extract outcome cols and map numeric values to the categories
# Destabilising == 1, and stabilising == 0 # Destabilising == 0, and stabilising == 1 so rescaling can let -1 be destabilising
df3_plot = df3[, cols_to_extract] df3_plot = df3[, cols_to_extract]
df3_plot[, outcome_cols_aff] <- sapply(df3_plot[, outcome_cols_aff] df3_plot[, outcome_cols_aff] <- sapply(df3_plot[, outcome_cols_aff]

8
scripts/plotting/mcsm_mean_stability_ensemble.R
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@ -84,8 +84,12 @@ outcome_cols_aff = c("duet_outcome"
#,"provean_outcome" #,"provean_outcome"
#,"snap2_outcome" #,"snap2_outcome"
) )
cols_to_consider = colnames(df3)[colnames(df3)%in%c(common_cols, scaled_cols,outcome_cols)] cols_to_consider = colnames(df3)[colnames(df3)%in%c(common_cols
cols_to_extract = cols_to_consider[cols_to_consider%in%c(common_cols, outcome_cols)] , scaled_cols
, outcome_cols)]
cols_to_extract = cols_to_consider[cols_to_consider%in%c(common_cols
, outcome_cols)]
############################################################## ##############################################################
##################### #####################