Description Usage Arguments Details Value See Also Examples
In the data analysis, a target_df class is created to identify the relationship between the target variable and the other variable.
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.data |
a data.frame or a |
target |
target variable. |
... |
arguments to be passed to methods. |
Data analysis proceeds with the purpose of predicting target variables that correspond to the facts of interest, or examining associations and relationships with other variables of interest. Therefore, it is a major challenge for EDA to examine the relationship between the target variable and its corresponding variable. Based on the derived relationships, analysts create scenarios for data analysis.
target_by() inherits the grouped_df
class and returns a target_df
class containing information about the target variable and the variable.
See vignette("EDA") for an introduction to these concepts.
an object of target_df class. Attributes of target_df class is as follows.
type_y : the data type of target variable.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 | # If the target variable is a categorical variable
categ <- target_by(heartfailure, death_event)
# If the variable of interest is a numerical variable
cat_num <- relate(categ, sodium)
cat_num
summary(cat_num)
# plot(cat_num)
# If the variable of interest is a categorical variable
cat_cat <- relate(categ, hblood_pressure)
cat_cat
summary(cat_cat)
# plot(cat_cat)
##---------------------------------------------------
# If the target variable is a numerical variable
num <- target_by(heartfailure, creatinine)
# If the variable of interest is a numerical variable
num_num <- relate(num, sodium)
num_num
summary(num_num)
# plot(num_num)
# If the variable of interest is a categorical variable
num_cat <- relate(num, smoking)
num_cat
summary(num_cat)
# plot(num_cat)
# Not allow typographic
# plot(num_cat, typographic = FALSE)
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