library(tidyverse)
ggplot(data = mtcars,
mapping = aes(x = cyl, y = mpga)) +
geom_col()
#> Error in `geom_col()`:
#> ! Problem while computing aesthetics.
#> ℹ Error occurred in the 1st layer.
#> Caused by error:
#> ! object 'mpga' not found
Created on 2024-06-11 with reprex v2.1.0
library(tidyverse)
ggplot(data = mtcars,
mapping = aes(x = cyl, y = mpga)) +
geom_col()
#> Error in `geom_col()`:
#> ! Problem while computing aesthetics.
#> ℹ Error occurred in the 1st layer.
#> Caused by error:
#> ! object 'mpga' not found
library(tidyverse)
ggplot(data = mtcars,
mapping = aes(x = cyl, y = mpga)) +
geom_col()
#> Error in `geom_col()`:
#> ! Problem while computing aesthetics.
#> ℹ Error occurred in the 1st layer.
#> Caused by error in `FUN()`:
#> ! object 'mpga' not found
#> Backtrace:
#> ▆
#> 1. ├─base::tryCatch(...)
#> 2. │ └─base (local) tryCatchList(expr, classes, parentenv, handlers)
#> 3. │ ├─base (local) tryCatchOne(...)
#> 4. │ │ └─base (local) doTryCatch(return(expr), name, parentenv, handler)
#> 5. │ └─base (local) tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
#> 6. │ └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]])
#> 7. │ └─base (local) doTryCatch(return(expr), name, parentenv, handler)
#> 8. ├─base::withCallingHandlers(...)
#> 9. ├─base::saveRDS(...)
#> 10. ├─base::do.call(...)
#> 11. ├─base (local) `<fn>`(...)
#> 12. ├─global `<fn>`(input = base::quote("flat-ram_reprex.R"))
#> 13. │ └─rmarkdown::render(input, quiet = TRUE, envir = globalenv(), encoding = "UTF-8")
#> 14. │ └─knitr::knit(knit_input, knit_output, envir = envir, quiet = quiet)
#> 15. │ └─knitr:::process_file(text, output)
#> 16. │ ├─base::withCallingHandlers(...)
#> 17. │ ├─knitr:::process_group(group)
#> 18. │ └─knitr:::process_group.block(group)
#> 19. │ └─knitr:::call_block(x)
#> 20. │ └─knitr:::block_exec(params)
#> 21. │ └─knitr:::eng_r(options)
#> 22. │ ├─knitr:::in_input_dir(...)
#> 23. │ │ └─knitr:::in_dir(input_dir(), expr)
#> 24. │ └─knitr (local) evaluate(...)
#> 25. │ └─evaluate::evaluate(...)
#> 26. │ └─evaluate:::evaluate_call(...)
#> 27. │ ├─evaluate (local) handle(...)
#> 28. │ │ └─base::try(f, silent = TRUE)
#> 29. │ │ └─base::tryCatch(...)
#> 30. │ │ └─base (local) tryCatchList(expr, classes, parentenv, handlers)
#> 31. │ │ └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]])
#> 32. │ │ └─base (local) doTryCatch(return(expr), name, parentenv, handler)
#> 33. │ ├─base::withCallingHandlers(...)
#> 34. │ ├─base::withVisible(value_fun(ev$value, ev$visible))
#> 35. │ └─knitr (local) value_fun(ev$value, ev$visible)
#> 36. │ └─knitr (local) fun(x, options = options)
#> 37. │ ├─base::withVisible(knit_print(x, ...))
#> 38. │ ├─knitr::knit_print(x, ...)
#> 39. │ └─knitr:::knit_print.default(x, ...)
#> 40. │ └─evaluate (local) normal_print(x)
#> 41. │ ├─base::print(x)
#> 42. │ └─ggplot2:::print.ggplot(x)
#> 43. │ ├─ggplot2::ggplot_build(x)
#> 44. │ └─ggplot2:::ggplot_build.ggplot(x)
#> 45. │ └─ggplot2:::by_layer(...)
#> 46. │ ├─rlang::try_fetch(...)
#> 47. │ │ ├─base::tryCatch(...)
#> 48. │ │ │ └─base (local) tryCatchList(expr, classes, parentenv, handlers)
#> 49. │ │ │ └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]])
#> 50. │ │ │ └─base (local) doTryCatch(return(expr), name, parentenv, handler)
#> 51. │ │ └─base::withCallingHandlers(...)
#> 52. │ └─ggplot2 (local) f(l = layers[[i]], d = data[[i]])
#> 53. │ └─l$compute_aesthetics(d, plot)
#> 54. │ └─ggplot2 (local) compute_aesthetics(..., self = self)
#> 55. │ └─ggplot2:::scales_add_defaults(...)
#> 56. │ └─base::lapply(aesthetics[new_aesthetics], eval_tidy, data = data)
#> 57. │ └─rlang (local) FUN(X[[i]], ...)
#> 58. └─base::.handleSimpleError(...)
#> 59. └─rlang (local) h(simpleError(msg, call))
#> 60. └─handlers[[1L]](cnd)
#> 61. └─cli::cli_abort(...)
#> 62. └─rlang::abort(...)
Created on 2024-06-11 with reprex v2.0.2
library(tidyverse)
ggplot(data = mtcars,
mapping = aes(x = cyl, y = mpga)) +
geom_col()
#> Error in `geom_col()`:
#> ! Problem while computing aesthetics.
#> ℹ Error occurred in the 1st layer.
#> Caused by error:
#> ! object 'mpga' not found
Created on 2024-06-11 with reprex v2.1.0
library(tidyverse)
ggplot(data = mtcars,
mapping = aes(x = cyl, y = mpga)) +
geom_col()
#> Error in `geom_col()`:
#> ! Problem while computing aesthetics.
#> ℹ Error occurred in the 1st layer.
#> Caused by error:
#> ! object 'mpga' not found
Created on 2024-06-11 with reprex v2.1.0
library(tidyverse)
ggplot(data = mtcars,
mapping = aes(x = cyl, y = mpga)) +
geom_col()
#> Error in `geom_col()`:
#> ! Problem while computing aesthetics.
#> ℹ Error occurred in the 1st layer.
#> Caused by error:
#> ! object 'mpga' not found
Created on 2024-06-11 with reprex v2.1.0
library("tidyverse")
ggplot(data = mtcars,
mapping = aes(x = cyl, y = mpga)) +
geom_col()
#> Error in `geom_col()`:
#> ! Problem while computing aesthetics.
#> ℹ Error occurred in the 1st layer.
#> Caused by error:
#> ! object 'mpga' not found
Created on 2024-06-12 with reprex v2.1.0
library(tidyverse)
ggplot(data = mtcars,
mapping = aes(x = cyl, y = mpg)) +
geom_col()
[image]
library(tidyverse)
ggplot(data = mtcars,
mapping = aes(x = cyl, y = mpga)) +
geom_col()
#> Error in `geom_col()`:
#> ! Problem while computing aesthetics.
#> ℹ Error occurred in the 1st layer.
#> Caused by error:
#> ! object 'mpga' not found
Created on 2024-06-12 with reprex v2.1.0
library(tidyverse)
ggplot(data = mtcars,
mapping = aes(x = cyl, y = mpga)) +
geom_col()
#> Error in `geom_col()`:
#> ! Problem while computing aesthetics.
#> ℹ Error occurred in the 1st layer.
#> Caused by error:
#> ! object 'mpga' not found
Created on 2024-06-12 with reprex v2.1.0
library(tidyverse)
ggplot(data = mtcars,
mapping = aes(x = cyl, y = mpga)) +
geom_col()
#> Error in `geom_col()`:
#> ! Problem while computing aesthetics.
#> ℹ Error occurred in the 1st layer.
#> Caused by error:
#> ! object 'mpga' not found
library(tidyverse)
ggplot(data = mtcars,
mapping = aes(x = cyl, y = mpga)) +
geom_col()
#> Error in `geom_col()`:
#> ! Problem while computing aesthetics.
#> ℹ Error occurred in the 1st layer.
#> Caused by error:
#> ! object 'mpga' not found
library(reprex)
Created on 2024-06-12 with reprex v2.1.0
library(tidyverse)
ggplot(data = mtcars,
mapping = aes(x = cyl, y = mpga)) +
geom_col()
#> Error in `geom_col()`:
#> ! Problem while computing aesthetics.
#> ℹ Error occurred in the 1st layer.
#> Caused by error:
#> ! object 'mpga' not found
library(tidyverse)
ggplot(data = mtcars,
mapping = aes(x = cyl, y = mpga)) +
geom_col()
#> Error in `geom_col()`:
#> ! Problem while computing aesthetics.
#> ℹ Error occurred in the 1st layer.
#> Caused by error:
#> ! object 'mpga' not found
Created on 2024-06-13 with reprex v2.1.0
library(tidyverse)
ggplot(data = mtcars,
mapping = aes(x = cyl, y = mpga)) +
geom_col()
#> Error in `geom_col()`:
#> ! Problem while computing aesthetics.
#> ℹ Error occurred in the 1st layer.
#> Caused by error:
#> ! object 'mpga' not found
Created on 2024-06-13 with reprex v2.1.0
here is my post
library(tidyverse)
ggplot(data = mtcars,
mapping = aes(x = cyl, y = mpga)) +
geom_col()
#> Error in `geom_col()`:
#> ! Problem while computing aesthetics.
#> ℹ Error occurred in the 1st layer.
#> Caused by error:
#> ! object 'mpga' not found
library(tidyverse)
ggplot(data = mtcars,
mapping = aes(x = cyl, y = mpga)) +
geom_col()
#> Error in `geom_col()`:
#> ! Problem while computing aesthetics.
#> ℹ Error occurred in the 1st layer.
#> Caused by error:
#> ! object 'mpga' not found
library(tidyverse)
ggplot(data = mtcars,
mapping = aes(x = cyl, y = mpga)) +
geom_col()
#> Error in geom_col():
#> ! Problem while computing aesthetics.
#> 
Error occurred in the 1st layer.
#> Caused by error:
#> ! object 'mpga' not found
Data sets in package ‘datasets’:
AirPassengers Monthly Airline Passenger Numbers 1949-1960
BJsales Sales Data with Leading Indicator
BJsales.lead (BJsales)
Sales Data with Leading Indicator
BOD Biochemical Oxygen Demand
CO2 Carbon Dioxide Uptake in Grass Plants
ChickWeight Weight versus age of chicks on different diets
DNase Elisa assay of DNase
EuStockMarkets Daily Closing Prices of Major European Stock
Indices, 1991-1998
Formaldehyde Determination of Formaldehyde
HairEyeColor Hair and Eye Color of Statistics Students
Harman23.cor Harman Example 2.3
Harman74.cor Harman Example 7.4
Indometh Pharmacokinetics of Indomethacin
InsectSprays Effectiveness of Insect Sprays
JohnsonJohnson Quarterly Earnings per Johnson & Johnson Share
LakeHuron Level of Lake Huron 1875-1972
LifeCycleSavings Intercountry Life-Cycle Savings Data
Loblolly Growth of Loblolly Pine Trees
Nile Flow of the River Nile
Orange Growth of Orange Trees
OrchardSprays Potency of Orchard Sprays
PlantGrowth Results from an Experiment on Plant Growth
Puromycin Reaction Velocity of an Enzymatic Reaction
Seatbelts Road Casualties in Great Britain 1969-84
Theoph Pharmacokinetics of Theophylline
Titanic Survival of passengers on the Titanic
ToothGrowth The Effect of Vitamin C on Tooth Growth in
Guinea Pigs
UCBAdmissions Student Admissions at UC Berkeley
UKDriverDeaths Road Casualties in Great Britain 1969-84
UKgas UK Quarterly Gas Consumption
USAccDeaths Accidental Deaths in the US 1973-1978
USArrests Violent Crime Rates by US State
USJudgeRatings Lawyers' Ratings of State Judges in the US
Superior Court
USPersonalExpenditure Personal Expenditure Data
UScitiesD Distances Between European Cities and Between US
Cities
VADeaths Death Rates in Virginia (1940)
WWWusage Internet Usage per Minute
WorldPhones The World's Telephones
ability.cov Ability and Intelligence Tests
airmiles Passenger Miles on Commercial US Airlines,
1937-1960
airquality New York Air Quality Measurements
anscombe Anscombe's Quartet of 'Identical' Simple Linear
Regressions
attenu The Joyner-Boore Attenuation Data
attitude The Chatterjee-Price Attitude Data
austres Quarterly Time Series of the Number of
Australian Residents
beaver1 (beavers) Body Temperature Series of Two Beavers
beaver2 (beavers) Body Temperature Series of Two Beavers
cars Speed and Stopping Distances of Cars
chickwts Chicken Weights by Feed Type
co2 Mauna Loa Atmospheric CO2 Concentration
crimtab Student's 3000 Criminals Data
discoveries Yearly Numbers of Important Discoveries
esoph Smoking, Alcohol and (O)esophageal Cancer
euro Conversion Rates of Euro Currencies
euro.cross (euro) Conversion Rates of Euro Currencies
eurodist Distances Between European Cities and Between US
Cities
faithful Old Faithful Geyser Data
fdeaths (UKLungDeaths)
Monthly Deaths from Lung Diseases in the UK
freeny Freeny's Revenue Data
freeny.x (freeny) Freeny's Revenue Data
freeny.y (freeny) Freeny's Revenue Data
infert Infertility after Spontaneous and Induced
Abortion
iris Edgar Anderson's Iris Data
iris3 Edgar Anderson's Iris Data
islands Areas of the World's Major Landmasses
ldeaths (UKLungDeaths)
Monthly Deaths from Lung Diseases in the UK
lh Luteinizing Hormone in Blood Samples
longley Longley's Economic Regression Data
lynx Annual Canadian Lynx trappings 1821-1934
mdeaths (UKLungDeaths)
Monthly Deaths from Lung Diseases in the UK
morley Michelson Speed of Light Data
mtcars Motor Trend Car Road Tests
nhtemp Average Yearly Temperatures in New Haven
nottem Average Monthly Temperatures at Nottingham,
1920-1939
npk Classical N, P, K Factorial Experiment
occupationalStatus Occupational Status of Fathers and their Sons
precip Annual Precipitation in US Cities
presidents Quarterly Approval Ratings of US Presidents
pressure Vapor Pressure of Mercury as a Function of
Temperature
quakes Locations of Earthquakes off Fiji
randu Random Numbers from Congruential Generator RANDU
rivers Lengths of Major North American Rivers
rock Measurements on Petroleum Rock Samples
sleep Student's Sleep Data
stack.loss (stackloss)
Brownlee's Stack Loss Plant Data
stack.x (stackloss) Brownlee's Stack Loss Plant Data
stackloss Brownlee's Stack Loss Plant Data
state.abb (state) US State Facts and Figures
state.area (state) US State Facts and Figures
state.center (state) US State Facts and Figures
state.division (state)
US State Facts and Figures
state.name (state) US State Facts and Figures
state.region (state) US State Facts and Figures
state.x77 (state) US State Facts and Figures
sunspot.month Monthly Sunspot Data, from 1749 to "Present"
sunspot.year Yearly Sunspot Data, 1700-1988
sunspots Monthly Sunspot Numbers, 1749-1983
swiss Swiss Fertility and Socioeconomic Indicators
(1888) Data
treering Yearly Tree-Ring Data, -6000-1979
trees Diameter, Height and Volume for Black Cherry
Trees
uspop Populations Recorded by the US Census
volcano Topographic Information on Auckland's Maunga
Whau Volcano
warpbreaks The Number of Breaks in Yarn during Weaving
women Average Heights and Weights for American Women
Data sets in package ‘dplyr’:
band_instruments Band membership
band_instruments2 Band membership
band_members Band membership
starwars Starwars characters
storms Storm tracks data
Data sets in package ‘forcats’:
gss_cat A sample of categorical variables from the
General Social survey
Data sets in package ‘ggplot2’:
diamonds Prices of over 50,000 round cut diamonds
economics US economic time series
economics_long US economic time series
faithfuld 2d density estimate of Old Faithful data
luv_colours 'colors()' in Luv space
midwest Midwest demographics
mpg Fuel economy data from 1999 to 2008 for 38
popular models of cars
msleep An updated and expanded version of the mammals
sleep dataset
presidential Terms of 12 presidents from Eisenhower to Trump
seals Vector field of seal movements
txhousing Housing sales in TX
Data sets in package ‘lubridate’:
lakers Lakers 2008-2009 basketball data set
Data sets in package ‘primer.data’:
cces Data from the Cooperative Congressional Election
Study
connectedness US County Economic Connectednesss Data from
Opportunity Insights
governors Election results and candidate longevity
insults Trump's Twitter insults (2014-2021)
kenya Kenya voter registration experiment
mail Philadelphia experiment on mail-in voting
nes American National Election Studies
nhanes National Health and Nutrition Examination Survey
nobel Data on Nobel Prize laureates
nominate DW-Nominate data for US Congressional
ideological ratings
qscores Student course evaluations from Harvard
shaming Michigan voting experiment with social shaming
shootings People shot by US police (2015-2019)
sps Public health experiment in Mexico
temperature Global monthly temperature deviations
(1978-2021)
trains Experimental effects on attitudes toward
immigration
Data sets in package ‘stringr’:
fruit Sample character vectors for practicing string
manipulations
sentences Sample character vectors for practicing string
manipulations
words Sample character vectors for practicing string
manipulations
Data sets in package ‘tidyr’:
billboard Song rankings for Billboard top 100 in the year
2000
cms_patient_care Data from the Centers for Medicare & Medicaid
Services
cms_patient_experience
Data from the Centers for Medicare & Medicaid
Services
construction Completed construction in the US in 2018
fish_encounters Fish encounters
household Household data
population World Health Organization TB data
relig_income Pew religion and income survey
smiths Some data about the Smith family
table1 Example tabular representations
table2 Example tabular representations
table3 Example tabular representations
table4a Example tabular representations
table4b Example tabular representations
table5 Example tabular representations
us_rent_income US rent and income data
who World Health Organization TB data
who2 World Health Organization TB data
world_bank_pop Population data from the World Bank
Use ‘data(package = .packages(all.available = TRUE))’
to list the data sets in all *available* packages.
#> Error: <text>:1:6: unexpected symbol
#> 1: Data sets
#> ^
Created on 2024-06-12 with reprex v2.1.0