Remove warnings from reshape

Author: ljwright

quarto/mcs-reshape_long_wide.qmd

@@ -53,6 +53,7 @@ df_wide
 `df_wide` has 12 columns. Besides, the identifiers, `MCSID` and `cnum`, there are 10 columns for height and weight measurements at each sweep. Each of these 10 columns is prefixed by a single letter indicating the sweep. We can reshape the dataset into long format (one row per person x sweep combination) using the `pivot_longer()` function so that the resulting data frame has five columns: two person identifiers, a variable for sweep, and variables for height and weight. We specify the columns to be reshaped using the `cols` argument, provide the new variable names in the `names_to` argument, and the pattern the existing column names take using the `names_pattern` argument. For `names_pattern` we specify `"(.)(.*)"`, which breaks the column name into two pieces: the first character (`"(.)"`) and the rest of the name (`"(.*)"`). `names_pattern` uses regular expressions. `.` matches single characters, and `.*` modifies this to make zero or more characters. As noted, the first character holds information on sweep; in the reshaped data frame the character is stored as a value in a new column `sweep`. `.value` is a placeholder for the new columns in the reshaped data frame that store the values from the columns selected by `cols`; these new columns are named using the second piece from `names_pattern` - in this case `CHTCM00` (height) and `CWTCM00` (weight).
 
 ```{r}
+#| warning: false
 df_long <- df_wide %>%
   pivot_longer(cols = matches("C(H|W)TCM00"),
                names_to = c("sweep", ".value"),