clean_marks_df: Takes a data frame of marks and regular expression and...
In jonotuke/examMarking: code for exam marking
Description
Usage
Arguments
Value
Examples
Description
Takes a data frame of marks and regular expression and converts
the columns whose names match regular expression
Usage
1
clean_marks_df(df, assess_RE)
Arguments
df
data frame of marks
RE
regular expression used to identify the columns
Value
data frame with exemptions converted to value.
Examples
1
2
3
4
5
library(examMarking)
library(examMarking)
data("SMI_2018_marks")
SMI_2018_marks
clean_marks_df(SMI_2018_marks, "^A")
jonotuke/examMarking documentation built on Nov. 26, 2019, 3:48 p.m.
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Description Usage Arguments Value Examples
Description
Takes a data frame of marks and regular expression and converts the columns whose names match regular expression
Usage
1 | clean_marks_df(df, assess_RE)
|
Arguments
df |
data frame of marks |
RE |
regular expression used to identify the columns |
Value
data frame with exemptions converted to value.
Examples
1 2 3 4 5 | library(examMarking)
library(examMarking)
data("SMI_2018_marks")
SMI_2018_marks
clean_marks_df(SMI_2018_marks, "^A")
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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