Thank you for posting! Here is an outline of an effective post:
Describe your issue
- What specifically do you need help with
- Relevant context (e.g. public health trends or associated data infrastructure)
- Timeline/urgency
- (No sensitive or identifiable information)
What steps have you already taken to find an answer?
- Ensure you have searched the Epi R Handbook and internet forums like stackoverflow: https://stackoverflow.com/
Provide an example of your R code
-
Watch this video: https://www.youtube.com/watch?v=XIc-VHFeUl8
This document is also helpful: Reprex do's and don'ts • reprex -
If pasting your code, put it in backticks so that others can easy copy/paste:
- Use single backticks to make text appear as code, like
mutate()andfilter() - Use 3 backticks on lines above and below a large block of text to make it appear as code
male_cases <- linelist %>% filter(gender == "male") - Use single backticks to make text appear as code, like
Follow-up
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pacman::p_load(rio, here, janitor, tidyverse, reprex, datapasta)
surv_raw <- data.frame(
stringsAsFactors = FALSE,
check.names = FALSE,
case_id = c("694928", "86340d", "92d002", "544bd1", "6056ba"),
sex = c("m", "f", "f", "f", "f"),
`onset date` = c("11/9/2014","10/30/2014",
"8/16/2014","8/29/2014","10/20/2014"))
surv_clean <- surv_raw %>%
clean_names() %>%
mutate(onset_date = mdy(onset_date))
ggplot(data = surv_clean,mapping = aes(
x = onset_date)) + geom_histogram())
#> Error in parse(text = input): <text>:14:38: unexpected ')'
#> 13: ggplot(data = surv_clean,mapping = aes(
#> 14: x = onset_date)) + geom_histogram())
#> ^