dplyr最常用的5个函数： • 按值筛选观测(filter())。 • 对行进行重新排序(arrange())。 ...
# 01. import data and change to tbl object df_order <- read.csv("dplyr-data/order.csv") head(df_order,5) # 02. change to tbl object tbl_order <- tbl_df(df_order) head(tbl_order, 5) # 03. mutate year and month column m_order <- mutate(tbl_order, oyear = substr(orderdate...
第二步:使用usethis::use_git()创建基于git的版本控制 第三步:删除项目自动生成的文件,包括namespace,hello.R,hello.md 第四步:使用usethis::use_r创建R包需要设计和实现的函数 第五步:函数编写和注释 把光标放在函数里面,使用快捷键Ctrl+Shift+Alt+R添加代码注释模板,然后修改模板的内容 第六步:使用devtools...
问如何在dplyr + purrr中优化内存使用EN在tidyverse中，整洁数据一般都是每一行是一个观测，每一列是一...
Grouped mutates50 XP Finding the year each name is most common100 XP Adding the total and maximum for each name100 XP Visualizing the normalized change in popularity100 XP Window functions50 XP Using ratios to describe the frequency of a name100 XP Biggest jumps in a name100 XP ...
># Change the name of the unemployment column>counties%>%rename(unemployment_rate=unemployment)# A tibble: 3,138 x 40census_id state county region metro population men women hispanic white<chr><chr><chr><chr><chr><dbl><dbl><dbl><dbl><dbl>11001Alab~Autau~South Metro5522126745284762.675.821...
(tib_2_gr)# ungroup() the tibble.ungroup(tib_2_gr)# Check the groups.group_vars(tib_2_gr)# The groups are still there because we did not save the change.# Save to the same object name.tib_2_gr=ungroup(tib_2_gr)# Now check the groupings.group_vars(tib_2_gr)# There is no...
Breaking change: The new .data and .env environments can be used inside all verbs that operate on data: .data$column_name accesses the column column_name, whereas .env$var accesses the external variable var. Columns or external variables named .data or .env are shadowed, use .data$... ...
Name Last commit message Last commit date Latest commit lionel- Merge pull requesttidyverse#2707from jennybc/guilty-column Apr 26, 2017 ec09de3·Apr 26, 2017 History 4,153 Commits R Support purrr-style formulas in scoped verbs Apr 20, 2017 ...
The group_by() function doesn’t change the data frame data how it looks and it just returns the grouped tbl (tibble table) where we can perform summarising on. Let’s perform the group by on the columndepartmentand summarize to get the sum of salary for each group. ...