Continue with Data, in R$.$

### Q$5$a: Now we will clean the variable that measures how often the respondent ate fruit per day or per week or per month. Create a new variable in $`$brf$\_$part$1`$ named $`$FRTDAY$`$ that converts all of the responses into fruits eaten $*$per day$*.$ Be sure to account for $0$ days. Use $30$ days per month, $7$ days per week, and $0\mathrm{.}02$ for less than once a month in your conversion calculations. Place the new column as the first column in the dataframe.

Make sure you added the new column FRTDAY to the existing $`$brf$\_$part$1`$ dataframe.

The resulting dataframe should still have NAs for FRTDAY at this point.

Hint: The resulting dataframe is $431,750$ x $4.$

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Q$5$a

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### Q$5$b: Update the $`$FRTDAY$`$ column in the dataframe $`$brf$\_$part$1`$ by removing the respondents who said "don't know$/$not sure" or refused to respond. Drop the original fruit variable from the $`$brf$\_$part$1`$ dataframe $($but keep FRTDAY$).$ Store the first $10$ rows of the dataframe as $`$Q$5.`$

Hint: The resulting dataframe is $422,747$ x $3.$ Be sure the variables are in this order $($left to right$)$: FRTDAY, the length of time variable, then the general health variable.

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Q$5$

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