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When I have a column in a local data frame, sometimes I get the message Variables not shown such as this (ridiculous) example just needed enough columns.
library(dplyr) library(ggplot2) # for movies movies %.% group_by(year) %.% summarise(Length = mean(length), Title = max(title), Dramaz = sum(Drama), Actionz = sum(Action), Action = sum(Action), Comedyz = sum(Comedy)) %.% mutate(Year1 = year + 1) year Length Title Dramaz Actionz Action Comedyz 1 1898 1.000000 Pack Train at Chilkoot Pass 1 0 0 2 2 1894 1.000000 Sioux Ghost Dance 0 0 0 0 3 1902 3.555556 Voyage dans la lune, Le 1 0 0 2 4 1893 1.000000 Blacksmith Scene 0 0 0 0 5 1912 24.382353 Unseen Enemy, An 22 0 0 4 6 1922 74.192308 Trapped by the Mormons 20 0 0 16 7 1895 1.000000 Photographe 0 0 0 0 8 1909 9.266667 What Drink Did 14 0 0 7 9 1900 1.437500 Uncle Josh's Nightmare 2 0 0 5 10 1919 53.461538 When the Clouds Roll by 17 2 2 29 .. ... ... ... ... ... ... ... Variables not shown: Year1 (dbl) I want to see Year1! How do I see all the columns, preferably by default.
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%>% is called the forward pipe operator in R. It provides a mechanism for chaining commands with a new forward-pipe operator, %>%. This operator will forward a value, or the result of an expression, into the next function call/expression. It is defined by the package magrittr (CRAN) and is heavily used by dplyr (CRAN).
Select certain columns in a data frame with the dplyr function select . Extract certain rows in a data frame according to logical (boolean) conditions with the dplyr function filter .
How To Select A Variable by name with dplyr select()? We can select a variable from a data frame using select() function in two ways. One way is to specify the dataframe name and the variable/column name we want to select as arguments to select() function in dplyr.
All of the dplyr functions take a data frame (or tibble) as the first argument. Rather than forcing the user to either save intermediate objects or nest functions, dplyr provides the %>% operator from magrittr. x %>% f(y) turns into f(x, y) so the result from one step is then “piped” into the next step.
There's (now) a way of overriding the width of columns that gets printed out. If you run this command all will be well
options(dplyr.width = Inf) I wrote it up here.
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You might like glimpse :
> movies %>% + group_by(year) %>% + summarise(Length = mean(length), Title = max(title), + Dramaz = sum(Drama), Actionz = sum(Action), + Action = sum(Action), Comedyz = sum(Comedy)) %>% + mutate(Year1 = year + 1) %>% glimpse() Variables: $ year (int) 1893, 1894, 1895, 1896, 1897, 1898, 1899, 1900, 1901, 1902,... $ Length (dbl) 1.000000, 1.000000, 1.000000, 1.307692, 1.000000, 1.000000,... $ Title (chr) "Blacksmith Scene", "Sioux Ghost Dance", "Photographe", "Ve... $ Dramaz (int) 0, 0, 0, 1, 0, 1, 2, 2, 5, 1, 2, 3, 4, 5, 1, 8, 14, 14, 14,... $ Actionz (int) 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 3, 0, 0, 0, 0, 3, 0, 0, 1, 0,... $ Action (int) 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 3, 0, 0, 0, 0, 3, 0, 0, 1, 0,... $ Comedyz (int) 0, 0, 0, 1, 2, 2, 1, 5, 8, 2, 8, 10, 6, 2, 6, 8, 7, 2, 2, 4... $ Year1 (dbl) 1894, 1895, 1896, 1897, 1898, 1899, 1900, 1901, 1902, 1903,...NULL If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
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