class: center, middle, inverse, title-slide # Excel to R Equivalents ### R for the Rest of Us --- # Introduction This is a demonstration of Excel to R equivalents. Specifically, I am showing equivalents of six key functions from the [`dplyr` package](http://dplyr.tidyverse.org). Data comes from the [US National Health and Nutrition Examination Survey](https://www.cdc.gov/nchs/nhanes/index.htm) and was collected from the [NHANES package](https://cran.r-project.org/web/packages/NHANES/index.html). It is a sample of 10,000 people, weighted to be representative of the US population. I used the [`clean_names`](https://sfirke.github.io/janitor/reference/clean_names.html) function from the janitor package to make the variable names easy to work with. --- # Get Data Let's import the NHANES data into a data frame and then take a look at it. ```r nhanes <- read_csv("nhanes.csv") nhanes ``` <div data-pagedtable="false"> <script data-pagedtable-source type="application/json"> 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{"columns":[{"label":["variable_name"],"name":[1],"type":["chr"],"align":["left"]},{"label":["variable_name_clean"],"name":[2],"type":["chr"],"align":["left"]},{"label":["description"],"name":[3],"type":["chr"],"align":["left"]}],"data":[{"1":"ID","2":"id","3":"Participant identifier."},{"1":"SurveyYr","2":"survey_yr","3":"Which survey the participant participated in."},{"1":"Gender","2":"gender","3":"Gender (sex) of study participant coded as male or female"},{"1":"Age","2":"age","3":"Age in years at screening of study participant. Note: Subjects 80 years or older were recorded\\nas 80."},{"1":"AgeDecade","2":"age_decade","3":"Categorical variable derived from age with levels 0-9, 10-19, . . . 70+"},{"1":"Race1","2":"race1","3":"Reported race of study participant: Mexican, Hispanic, White, Black, or Other"},{"1":"Education","2":"education","3":"Educational level of study participant Reported for participants aged 20 years or older.\\nOne of 8thGrade, 9-11thGrade, HighSchool, SomeCollege, or CollegeGrad."},{"1":"MaritalStatus","2":"marital_status","3":"Marital status of study participant. Reported for participants aged 20 years or older.\\nOne of Married, Widowed, Divorced, Separated, NeverMarried, or LivePartner (living\\nwith partner)."},{"1":"HHIncome","2":"hh_income","3":"Total annual gross income for the household in US dollars. One of 0 - 4999,\\n5000 - 9,999, 10000 - 14999, 15000 - 19999, 20000 - 24,999, 25000 - 34999,\\n 35000 - 44999, 45000 - 54999, 55000 - 64999, 65000 - 74999, 75000 - 99999, or\\n 100000 or More."},{"1":"HomeOwn","2":"home_own","3":"One of Home, Rent, or Other indicating whether the home of study participant or someone in their family is owned, rented or occupied by some other arrangement."},{"1":"Work","2":"work","3":"Self-reported work status for participants aged 16 years or older. One of Working, NotWorking or Looking."},{"1":"Weight","2":"weight","3":"Weight in kg"},{"1":"Height","2":"height","3":"Standing height in cm. Reported for participants aged 2 years or older"},{"1":"BMI","2":"bmi","3":"Body mass index (weight/height2 in kg/m2). Reported for participants aged 2 years or older"},{"1":"HealthGen","2":"health_gen","3":"Self-reported rating of participant’s health in general Reported for participants aged 12\\nyears or older. One of Excellent, Vgood, Good, Fair, or Poor."},{"1":"DaysPhysHlthBad","2":"days_phys_hlth_bad","3":"Self-reported number of days participant’s physical health was not good out of\\nthe past 30 days. Reported for participants aged 12 years or older."},{"1":"DaysMentHlthBad","2":"days_ment_hlth_bad","3":"Self-reported number of days participant’s mental health was not good out of\\nthe past 30 days. Reported for participants aged 12 years or older"},{"1":"SleepHrsNight","2":"sleep_hrs_night","3":"Self-reported number of hours study participant usually gets at night on weekdays\\nor workdays. Reported for participants aged 16 years and older"},{"1":"PhysActive","2":"phys_active","3":"Participant does moderate or vigorous-intensity sports, fitness or recreational activities\\n(Yes or No). Reported for participants 12 years or older."},{"1":"PhysActiveDays","2":"phys_active_days","3":"Number of days in a typical week that participant does moderate or vigorousintensity activity. Reported for participants 12 years or older."},{"1":"TVHrsDay","2":"tv_hrs_day","3":"Number of hours per day on average participant watched TV over the past 30 days. Reported for participants 2 years or older. One of 0_to_1hr, 1_hr, 2_hr, 3_hr, 4_hr, More_4_hr.\\nNot available 2009-2010."},{"1":"SmokeNow","2":"smoke_now","3":"Study participant currently smokes cigarettes regularly. Reported for participants aged\\n20 years or older as Yes or No, provided they answered Yes to having somked 100 or more\\ncigarettes in their life time. All subjects who have not smoked 100 or more cigarettes are listed\\nas NA here."}],"options":{"columns":{"min":{},"max":[10]},"rows":{"min":[5],"max":[5]},"pages":{}}} </script> </div> --- # select ```r nhanes %>% * select(height) ``` -- <div data-pagedtable="false"> <script data-pagedtable-source type="application/json"> 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</script> </div> --- # mutate ```r nhanes %>% * mutate(height_inches = height / 2.54) %>% select(height, height_inches) ``` -- <div data-pagedtable="false"> <script data-pagedtable-source type="application/json"> 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</script> </div> --- # filter ```r nhanes %>% * filter(height > 150) %>% select(height) ``` -- <div data-pagedtable="false"> <script data-pagedtable-source type="application/json"> 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</script> </div> --- # summarize ```r nhanes %>% * summarize(mean_height = mean(height, na.rm = TRUE)) ``` -- <div data-pagedtable="false"> <script data-pagedtable-source type="application/json"> {"columns":[{"label":["mean_height"],"name":[1],"type":["dbl"],"align":["right"]}],"data":[{"1":"161.8778"}],"options":{"columns":{"min":{},"max":[10]},"rows":{"min":[5],"max":[5]},"pages":{}}} </script> </div> --- # group_by ```r nhanes %>% * group_by(gender) %>% summarize(mean_height = mean(height, na.rm = TRUE)) ``` -- <div data-pagedtable="false"> <script data-pagedtable-source type="application/json"> {"columns":[{"label":["gender"],"name":[1],"type":["chr"],"align":["left"]},{"label":["mean_height"],"name":[2],"type":["dbl"],"align":["right"]}],"data":[{"1":"female","2":"156.6159"},{"1":"male","2":"167.1913"}],"options":{"columns":{"min":{},"max":[10]},"rows":{"min":[5],"max":[5]},"pages":{}}} </script> </div> --- # arrange ```r nhanes %>% * arrange(height) %>% select(height) ``` -- <div data-pagedtable="false"> <script data-pagedtable-source type="application/json"> 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