@@ -74,7 +74,7 @@ District of Columbia, Massachusetts, and New York), mask usage is among the
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highest in the country; in the other three (South Dakota, Idaho, and Wyoming),
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it's among the lowest.
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- ``` {r state_masks_time, message=FALSE}
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+ ``` {r state_masks_time, message=FALSE, warning=FALSE }
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library(covidcast)
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library(dplyr)
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library(ggplot2)
@@ -117,7 +117,7 @@ states---might make you wonder: If mask usage is over 80% in most states and
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over 90% in many, why does the rate of new COVID cases in the United States
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currently look like this?
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- ``` {r national_cases_time, message=FALSE}
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+ ``` {r national_cases_time, message=FALSE, warning=FALSE }
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cases <- covidcast_signal(
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"indicator-combination", "confirmed_7dav_incidence_num",
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start_day = "2020-09-15", end_day = "2020-12-05",
@@ -221,7 +221,7 @@ mask use.
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Let's see how the data looks. We'll plot the percentage of people answering
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"all" or "most" to each mask question in each state:
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- ``` {r mask_questions_compared, message=FALSE}
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+ ``` {r mask_questions_compared, message=FALSE, warning=FALSE }
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masked <- covidcast_signal(
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"fb-survey", "smoothed_wwearing_mask",
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start_day = "2020-12-01", end_day = "2020-12-01",
@@ -331,7 +331,7 @@ is "Spent time with someone who isn't currently staying with you"; whether this
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is done with a mask or not, it represents a higher risk. And the data shows that
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it's done more often in states where fewer people report wearing masks:
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- ``` {r social_distancing, message=FALSE}
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+ ``` {r social_distancing, message=FALSE, warning=FALSE }
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spent_time <- covidcast_signal(
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"fb-survey", "smoothed_wspent_time_1d",
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start_day = "2020-12-01", end_day = "2020-12-01",
@@ -357,7 +357,7 @@ cell phone location data. Using [state-level aggregates from our
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API] ( https://cmu-delphi.github.io/delphi-epidata/api/covidcast-signals/safegraph.html#safegraph-weekly-patterns ) ,
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we can compare mask use to the proportion of people visiting restaurants in each state:
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- ``` {r restaurants, message=FALSE}
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+ ``` {r restaurants, message=FALSE, warning=FALSE }
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# 2020-11-29 was most recent data available at time of writing
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restaurants <- covidcast_signal(
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"safegraph", "restaurants_visit_prop",
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