update score column

Author: SvenKlaassen

doc/plm/plr.qmd

@@ -94,7 +94,7 @@ display_columns = ["Learner g", "Learner m", "Bias", "CI Length", "Coverage"]
 score = "partialling out"
 level = 0.95
 
-df_ate_95 = df[(df["level"] == level) & (df["Score"] == score)][display_columns]
+df_ate_95 = df[(df["level"] == level) & (df["score"] == score)][display_columns]
 df_ate_95.rename(columns={"Learner g": "Learner l"}, inplace=True)
 make_pretty(df_ate_95, level, n_rep)
 ```
@@ -104,7 +104,7 @@ make_pretty(df_ate_95, level, n_rep)
 score = "partialling out"
 level = 0.9
 
-df_ate_9 = df[(df['level'] == level) & (df["Score"] == score)][display_columns]
+df_ate_9 = df[(df['level'] == level) & (df["score"] == score)][display_columns]
 df_ate_9.rename(columns={"Learner g": "Learner l"}, inplace=True)
 make_pretty(df_ate_9, level, n_rep)
 ```
@@ -118,7 +118,7 @@ For the IV-type score, the learners `ml_l` and `ml_g` are both set to the same t
 score = "IV-type"
 level = 0.95
 
-df_ate_95 = df[(df['level'] == level) & (df["Score"] == score)][display_columns]
+df_ate_95 = df[(df['level'] == level) & (df["score"] == score)][display_columns]
 make_pretty(df_ate_95, level, n_rep)
 ```
 
@@ -127,7 +127,7 @@ make_pretty(df_ate_95, level, n_rep)
 score = "IV-type"
 level = 0.9
 
-df_ate_9 = df[(df['level'] == level) & (df["Score"] == score)][display_columns]
+df_ate_9 = df[(df['level'] == level) & (df["score"] == score)][display_columns]
 make_pretty(df_ate_9, level, n_rep)
 ```