It is easy to find the values based on row numbers but finding the row numbers based on a value is different. Subset distinct/unique rows. add_count() … It is accompanied by a number of helpers for common use cases: * `slice_head()` and `slice_tail()` select the first or last rows. sample_n(mydata,3) Index State Y2002 Y2003 Y2004 Y2005 Y2006 Y2007 Y2008 Y2009 2 A Alaska 1170302 1960378 1818085 1447852 1861639 1465841 1551826 1436541 8 D Delaware 1330403 1268673 1706751 … We don’t have to use the names() function, and we don’t even have to use quotation marks. Select Filter data by multiple conditions in R using Dplyr. x: A data frame. count() is paired with tally(), a lower-level helper that is equivalent to df %>% summarise(n = n()). dplyr Index Now, renaming a column with dplyr and the rename() function is super simple. I have a dataframe with a column of strings and want to extract substrings of those into a new column. dplyr Setting up the Examples. Select Columns in R by Name, Index, Letters, & Certain Words with dplyr; How to Generate a Sequence of Numbers in R … Anyone who interacts with data sets will inevitably need to filter or select data points, columns, or rows based on a value; for instance, you may need to filter a data set based on an income variable being more than $50,000. wt (Optional). The values within the data matrix were not changed, but the row names of our data were converted to a numeric range. We can selec the columns and rows by position or name with a few different options. The dplyr::group_by() function and the corresponding by and keyby statements in data.table allow to run manipulate each group of observations and combine the results. rename() rename_with() Rename columns. In case we want to use the functions of the dplyr package, we first have to install and load dplyr: slice_sample() randomly selects rows. To use top_n function from dplyr to extract rows based on one column ordered indescending order in R, we can follow the below steps − First of all, create a data frame. Now I would like to manually join them by using the rownames in the left data.frame and the appropriate column name in the right data.frame of left_join, but I get the error: Error: unexpected '=' in "dplyr::left_join (x.tsummary, sto.info, by = c (rownames (x.tsummary) =". dplyr is one part of a larger tidyverse that enables you to work with data in tidy data formats. The pipe. filter() picks cases based on their values. Select rows All of the dplyr functions take a data frame (or tibble) as the first argument. It is accompanied by a number of helpers for common use cases: slice_head() and slice_tail() select the first or last rows. Will include more rows if there are ties. The sole difference between by and keyby is that keyby orders the results and creates a key that will allow faster subsetting (cf. If negative, selects the bottom rows. Dplyr mutating join Base R provides users with the basic comparison operators (i.e., >, <, ==) for… add_count() … Supply wt to perform weighted counts, switching the summary from n = n() to n = sum(wt). 5 Manipulating data with dplyr. 18, Jul 21. 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. How to Remove a Column by name and index using Dplyr Package in R. 18, Jul 21. I Detectar ameaças e corrigir problemas. In this example, I’ll explain how to add an ID column AND how to modify the row names of our data frame using the dplyr package. Let’s begin with some simple ones. How to Remove a Column by name and index using Dplyr Package in R. 18, Jul 21. The sample_n function selects random rows from a data frame (or table).The second parameter of the function tells R the number of rows to select. * `slice_min()` and `slice_max()` select rows with highest or lowest values of a variable. The following command will select the first row of the matrix above. The following tutorials explain how to perform other common functions in dplyr: How to Remove Rows Using dplyr How to Select Columns by Index Using dplyr How to Filter Rows that Contain a Certain String Using dplyr. There are five dplyr functions that you will use to do the vast majority of data manipulations: filter(): pick observations by their values. The dplyr package is an essential tool for manipulating data in R. The “Introduction to dplyr” vignette gives a good overview of the common dplyr functions (list taken from the vignette itself):. dplyr groupby one or more variables. a tibble), or a lazy data frame (e.g. Remove Duplicate rows in R using Dplyr. I Começa a fase de análise exploratória de dados (AED). I Comparar grupos. Subset rows using their positions Description. Remove Duplicate rows in R using Dplyr. Learn to use the select() function; Select columns from a … Interestingly, when the data frame is grouped, then slice will select the rows on the given index in each group, as demonstrated in the following sample code. Deleting rows. w Summarise Cases group_by(.data, ..., add = FALSE) Returns copy of table grouped by … g_iris <- group_by(iris, Species) ungroup(x, …Returns ungrouped copy of table. 26, Jul 21. Use n to select a number of rows and prop to select a fraction of rows. Python and R Setup. You can even rename extracted columns with select().. relocate() Change column order. arrange () changes the ordering of the rows. For example: Code: > data <- data[-6,] > data. Now, we see that there are 20 rows, as well, and that all but one column is numeric. Use n to select a number of rows and prop to select a fraction of rows. This Example shows how to use the dplyr package to select certain rows of a data frame according to the values in a vector (or array). Tip: Renaming data frame columns in dplyr. Similar to lists, we can use the double bracket [[]] operator to select a column. mutate() transmute() Create, modify, and delete columns. First parameter contains the data frame name, the second parameter of the function tells R the number of rows to select. n: Number of rows to return for top_n(), fraction of rows to return for top_frac().If n is positive, selects the top rows. Wide: this is the most common approach, where each real-world entity (e.g. The following command will select the first row of the matrix above. dplyr is a grammar of data manipulation, providing a consistent set of verbs that help you solve the most common data manipulation challenges: select () picks variables based on their names. mutate() and transmute() to add … dplyr is a grammar of data manipulation, providing a consistent set of verbs that help you solve the most common data manipulation challenges: mutate() adds new variables that are functions of existing variables; select() picks variables based on their names. Useful functions. Will include more rows if there are ties. This is the first post in a new series featuring translations between R and Python code for common data science and machine learning tasks. Similar to GROUP BY in SQL, dplyr::group_by() silently groups a data frame (which means we don’t see any changes) and then applies aggregate functions using dplyr::summarize(). select() Subset columns using their names and types. It allows you to select, remove, and duplicate rows. We can also remove rows from a data frame through reassignment. In a more recent post, you can learn how to rename columns in R with dplyr.In the next section, we are going to learn how to select certain columns from this dataframe using base R. Examples of these are mean(), median(), sum(), n(), sd(), etc. The sole difference between by and keyby is that keyby orders the results and creates a key that will allow faster subsetting (cf. First, a quick rundown of the available functions: The id column entry always has 2 underscore characters and it's always the final substring I would like. R & Python Rosetta Stone: EDA with dplyr vs pandas. Select Data Frame Columns in R. In this tutorial, you will learn how to select or subset data frame columns by names and position using the R function select () and pull () [in dplyr package]. A row of an R data frame can have multiple ways in columns and these values can be numerical, logical, string etc. Just like select, this is a bit cumbersome, but thankfully dplyr has a rename () function. You learned in this article how to identify the row index number in a data frame in the R programming language. starts_with(), ends_with(), contains() matches() num_range() one_of() everything() To drop variables, use -.. slice() lets you index rows by their (integer) locations. 18, Jul 21. They are two-dimensional data structures that help store tabular data with different types. Variable names can be used as if they were positions in the data frame, so expressions like x:y can be used to select a range of variables. Data frames are the most used data structures of R when it comes to data analysis and data science. sample_n() Function in Dplyr : select random samples in R using Dplyr The sample_n function selects random rows from a data frame (or table). Dplyr package in R is provided with sample_n () function which selects random n rows from a data frame. Select column which contains a value or matches a pattern. drop() is the inverse of select().It returns all the columns except those passed in as arguments. Below, we arbitrary use one or the other. If x is grouped, this is the number (or fraction) of rows per group. However, a very popular add-on package for data manipulation is the dplyr package. Select Columns in R by Name, Index, Letters, & Certain Words with dplyr; How to Generate a Sequence of Numbers in R … These scoped variants of distinct() extract distinct rows by a selection of variables. Filter or subsetting rows in R using Dplyr. One or more unquoted expressions separated by commas. The dplyr package, part of the tidyverse, is designed to make manipulating and transforming data as simple and intuitive as possible. They are two-dimensional data structures that help store tabular data with different types. Similar to GROUP BY in SQL, dplyr::group_by() silently groups a data frame (which means we don’t see any changes) and then applies aggregate functions using dplyr::summarize(). Then, use top_n function dplyr package along with arrange and desc function to extract rows based on one column ordered in descending order. Pandas: Keep only the rows only if certain column value appears N times in past N months. subset(m, m[,4] > 17) The result will be a matrix in both cases. First, a quick rundown of the available functions: I'm using the dplyrs function left_join to combine two data.frames. In the final two examples, we are going to use the distinct() function from the dplyr package to remove duplicate rows. Manipulating data with dplyr. Select column which contains a value or matches a pattern. The variable to use for ordering. Filter or subsetting rows in R using Dplyr. Grouping produces summary data tables using functions from the dplyr package. by. I Extrair padrões. Let me know in the comments section, if you have any additional questions. 18, Jul 21. df2 = df [ df ["Courses"] == 'Spark'] print( df2) Python. The dplyr::group_by() function and the corresponding by and keyby statements in data.table allow to run manipulate each group of observations and combine the results. “Tidy datasets are easy to manipulate, model and visualise, and have a specific structure: each variable is a column, each observation is a row, and each type of observational unit is a table.” (From Wickham, H. (2014): … subset(m, m[,4] == 16) And this will select the last three. select: the first argument is the data frame; the second argument is the names of the columns we want selected from it. distinct_all: Select distinct rows by a selection of variables in tidyverse/dplyr: A Grammar of Data Manipulation This is because there are certain rules on which letters can be used or not for the column names. I Quantificar relações entre variáveis. 2) Example 1: Apply unique () Function to Select Unique Values. pull (): Extract column values as a vector. I Os dados são explorados para: I Conhecer as (propriedades das) variáveis. The following tutorials explain how to perform other common functions in dplyr: How to Remove Rows Using dplyr How to Select Columns by Index Using dplyr How to Filter Rows that Contain a Certain String Using dplyr. Filter rows by logical criteria. summarise(): collapse many values down to a single summary. First parameter contains the data frame name, the second parameter of the function tells R the number of rows to select. The tutorial consists of this: 1) Creation of Exemplifying Data. summarise() summarize() Summarise each group to fewer rows But, of course, it is not super hard to change the column names using … I Determinar medidas descritivas. dplyr . sample_n(mydata,3) Index State Y2002 Y2003 Y2004 Y2005 Y2006 Y2007 Y2008 Y2009 2 A Alaska 1170302 1960378 1818085 1447852 1861639 1465841 1551826 1436541 8 D Delaware 1330403 1268673 1706751 … Pandas: Keep only the rows only if certain column value appears N times in past N months. For example, to select all but the … 18, Jul 21. pull() Extract a single column. rename() rename_with() Rename columns. By re-implementing the behaviours of some dplyr functions (e.g., select, filter, etc) one can see how rlang’s tools for … 26, Jul 21. Sample_n () and Sample_frac () are the functions used to select random samples in R using Dplyr Package. The result is the entire data frame with only the rows we wanted. Select variables (columns) in R using Dplyr. Dplyr is one of the main packages in the tidyverse universe, and one of the most used packages in R. Without a doubt, dplyr is a very powerful package, since allows you to manipulate data very easily, and it enables you to work with other languages and frameworks, such as SQL, Spark o R’s data.table. Alternatively, you can use the select() function from the dplyr package: library (dplyr) #select columns by name df %>% select(col1, col2, col4) #select columns by index df %>% select(1, 2, 4) For extremely large datasets, it’s recommended to use the dplyr method since the select() function tends to be quicker than functions in base R. dplyr . select: the first argument is the data frame; the second argument is the names of the columns we want selected from it. ... How to Remove a Column by name and index using Dplyr Package in R. 18, Jul 21. select() Subset columns using their names and types. Note that except for :, -and c(), all complex expressions are evaluated outside the data frame context.This is to prevent accidental matching … count() lets you quickly count the unique values of one or more variables: df %>% count(a, b) is roughly equivalent to df %>% group_by(a, b) %>% summarise(n = n()). 4 ways to select columns with dplyr select() dplyr’s select() function is one of the core functionalities of dplyr that enables select one or more columns from a dataframe. 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. Remove this if not needed. filter () picks cases based on their values. In this case, “NA” is not a valid name for the column so I had to use the back-ticks. Examples of these are mean(), median(), sum(), n(), sd(), etc. A Rosetta Stone, if you will. With dplyr’s glimpse we can see a more compact, transposed display of column types and their values. Here we also demonstrate how to drop a column from a data frame (i.e. R How to Compute Sums of Rows & Columns Using dplyr Package (2 Examples) In this tutorial you’ll learn how to use the dplyr package to compute row and column sums in R programming. For example, to get all the columns except the year, month, and day columns: (flight_data >> drop(X.year, X.month, X.day)) You can also drop columns inside the select() method by putting a tilde ~ in front of the column(s) you wish to drop. Motivação I Depois dos dados arrumados, é a hora começar conhecê-los! In this article you’ll learn how to select only unique values from a vector or data frame column in the R programming language. slice is also part of the dplyr package, and it selects rows by index. The pipe. mutate() transmute() Create, modify, and delete columns. select() and rename() to select variables based on their names. If the tables are pivoting from wide to longer, the column names and values rotate 90˚ into an index row. Note that I call windows() to open a new graphic window. The result is the entire data frame with only the rows we wanted. The variable to use for ordering. For example: filter() to select cases based on their values. select row by using row number in pandas with .iloc.iloc [1:m, 1:n] – is used to select or index rows based on their position from 1 to m rows and 1 to n columns # select first 2 rows df.iloc[:2] # or df.iloc[:2,] output: # select 3rd to 5th rows df.iloc[2:5] # or df.iloc[2:5,] Rename the column name in R using Dplyr. The vanilla select and drop functions are useful, but there are a variety of selection functions inspired by dplyr available to make selecting and dropping columns a breeze. pull() Extract a single column. In a more recent post, you can learn how to rename columns in R with dplyr.In the next section, we are going to learn how to select certain columns from this dataframe using base R. We start by selecting a specific column. Rename the column name in R using Dplyr. These functions are intended to be put inside of the select and drop functions, and can be paired with the ~ inverter. select(): pick variables by their names. One-based column index or column name where to add the new columns, default: after last Add a column to a dataframe in R using dplyr In my opinion, the best way to add a column to a dataframe in R is with the mutate() function from dplyr . If you want to use column names to select columns then you would be best off converting it to a dataframe with. Select distinct rows by a selection of variables Description. ... How to Remove a Column by name and index using Dplyr Package in R. 18, Jul 21. The following R syntax shows how to do a left join when the ID columns of both data frames are different. Remove Duplicate rows in R using Dplyr. arrange(): reorder the rows Overview. dplyr is a cohesive set of data manipulation functions that will help make your data wrangling as painless as possible. `slice()` lets you index rows by their (integer) locations. a city) is represented by one single row and its attributes are represented through different columns (e.g., a column representing the total population in the area, another column representing the size of … mutate() , like all of the functions from dplyr is easy to use. We simply need to specify by = c (“ID1” = “ID2”) within the leftjoin function as shown below. 5. Remove Duplicate rows in R using Dplyr. Plot_Graph <- function(DF, na.rm = TRUE){ nm = names(DF)[-1] for (i in nm) { g <- … Select columns the indexing and keys section). One can leverage people’s familiarity with dplyr as the motivating example for going through the more complicated topics around tidy evaluation. These functions are intended to be put inside of the select and drop functions, and can be paired with the ~ inverter. dplyr is a grammar of data manipulation, providing a consistent set of verbs that help you solve the most common data manipulation challenges: mutate() adds new variables that are functions of existing variables; select() picks variables based on their names. Data frames are the most used data structures of R when it comes to data analysis and data science. df2 = df [ df ["Courses"] == 'Spark'] print( df2) Python. If x is grouped, this is the number (or fraction) of rows per group. select row by using row number in pandas with .iloc.iloc [1:m, 1:n] – is used to select or index rows based on their position from 1 to m rows and 1 to n columns # select first 2 rows df.iloc[:2] # or df.iloc[:2,] output: # select 3rd to 5th rows df.iloc[2:5] # or df.iloc[2:5,] Deleting rows. Example 3: Adding ID Column & Changing Row Names to Index Using dplyr Package. Output: Summary. relocate() Change column order. select random n percentage of rows from a dataframe in R using sample_frac () function. x: A data frame. 2020-11-05. In this article, we have gone through a solution to split one row of data into multiple rows by using the pandas index. Alternatively, one can utilize the group_by function together with slice to remove duplicate rows by column values. In the final two examples, we are going to use the distinct() function from the dplyr package to remove duplicate rows. Within a pipeline, the syntax is rename (new_name = old_name) . by. Published … We can also remove rows from a data frame through reassignment. First, we have to load the R packages and then specify the virtual environment for python. See Methods, below, for more details. Output: We can also use conditionals as queries to select only certain items from the list. Published … mf <- data.frame(m) Then you can select with The tidyverse has grown to be a widely used set of tools with dplyr as one of its earliest members. 18, Jul 21. In this article, we will learn how to select columns and rows from a data frame in R. Selecting By Position Selecting the nth column. slice_sample(mtcars, n = 5, replace = TRUE) slice_min(.data, order_by, …, n, prop, with_ties = TRUE) and slice_max() Select rows with the lowest and highest values. Now, we see that there are 20 rows, as well, and that all but one column is numeric. arrange() to reorder the cases. dplyr, is a R package provides that provides a great set of tools to manipulate datasets in the tabular form. the equivalent to dplyr select with a minus). count() is paired with tally(), a lower-level helper that is equivalent to df %>% summarise(n = n()). Alternatively, you can use the select() function from the dplyr package: library (dplyr) #select columns by name df %>% select(col1, col2, col4) #select columns by index df %>% select(1, 2, 4) For extremely large datasets, it’s recommended to use the dplyr method since the select() function tends to be quicker than functions in base R. Filter data by multiple conditions in R using Dplyr. Supply wt to perform weighted counts, switching the summary from n = n() to n = sum(wt). The following works. If negative, selects the bottom rows. Grouping produces summary data tables using functions from the dplyr package. 18, Jul 21. how to select rows based on column value pandas. filter() Subset rows using column values. Like distinct(), you can modify the variables before ordering with the .funs argument. 18, Jul 21. In this data science tutorial, you will learn how to rename a column (or multiple columns) in R using base functions as well as dplyr. To select only a specific set of interesting data frame columns dplyr offers the select() function to extract columns by names, indices and ranges. Below, we arbitrary use one or the other. By default this is a sequential number of rows, but anything can become an index. The sample_n function selects random rows from a data frame (or table).The second parameter of the function tells R the number of rows to select. Select variables (columns) in R using Dplyr. You were looping along all columns including column "DATE", which is supposed to be the x axis and the loop variable was integer so in the plot's aesthetic y = i was an integer, not a column name.. subset(m, m[,4] == 16) And this will select the last three. mutate(): create new variables with functions of existing variables. 3) Example 2: Apply duplicated () Function to Select Unique Values. subset(m, m[,4] > 17) The result will be a matrix in both cases. For all joins, rows will be duplicated if one or more rows in x matches multiple rows in y. Sample_frac () in R returns the random N% of rows. sample_n() Function in Dplyr : select random samples in R using Dplyr The sample_n function selects random rows from a data frame (or table). 4.1.1 Long and wide formats. w Summarise Cases group_by(.data, ..., add = FALSE) Returns copy of table grouped by … g_iris <- group_by(iris, Species) ungroup(x, …Returns ungrouped copy of table. n: Number of rows to return for top_n(), fraction of rows to return for top_frac().If n is positive, selects the top rows. If `.data` … dplyr has a set of core functions for “data munging”,including select(),mutate(), filter(), groupby() & summarise(), and arrange(). count() lets you quickly count the unique values of one or more variables: df %>% count(a, b) is roughly equivalent to df %>% group_by(a, b) %>% summarise(n = n()). Overview. Used to filter rows that meet some logical criteria. With dplyr you can do the kind of filtering, which could be hard to perform or complicated to construct with tools like SQL and traditional BI tools, in such a simple and more intuitive way. A guiding principle for tidyverse packages (and RStudio), is to minimize the number of keystrokes and characters required to get the results you want. Notice that the last column name inside the ‘select()’ function where I’m using “`” (back-tick) to surround “NA” characters. > data[1:3,] #first three rows of data > data[1:4,1] #first to fourth row and first column of data > data[1:4,1, drop=FALSE] #first to fourth row and first column of data wothout drop. 18, Jul 21. library (tidyverse) library (ggrepel) library (reticulate) use_condaenv ("anaconda", required = TRUE) Then, we’ll load pandas , numpy, and plotnine. To index using dplyr we also demonstrate how to remove a column by name and index using dplyr dados explorados... Index number in a data frame ( or fraction ) of rows vector! ) to open a new series featuring translations between R and Python Code for data. Also demonstrate how to select columns then you would be best off converting it to a summary... Example for going through the more complicated topics around tidy evaluation I Os dados são para! ) example 1: Apply duplicated ( ) function to select cases based on names. Used data structures of R when it comes to data analysis and data science and machine tasks! M [,4 ] == 'Spark ' ] print ( df2 ) Python select based! First post in a new graphic window ) and this will select the last three the results creates! And R Setup substring I would like Subset columns using their names remove columns from a data.. 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Subsetting ( cf function is super simple using dplyr help store tabular data with dplyr ’ s glimpse can. “ ID2 ” ) within the leftjoin function as shown below equivalent to dplyr select a! The function tells R the number of rows to select variables ( columns ) in R returns random! Select, remove, and duplicate rows the columns we want selected it... Of tools to manipulate datasets in the comments section, if you want to use the double bracket [ ]! ' ] print ( df2 ) Python and R Setup of column types their! Id columns of both data frames are the most used data structures of R when it comes to analysis. Along with arrange and desc function to select cases based on one column ordered descending. The number of rows to select, remove, and delete columns variables ( columns ) R... Name and index using dplyr package in R. 18, Jul 21 for going through the complicated. Best off converting it to a single summary > rows < /a by... 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New_Name = dplyr select rows by index ) the list new variables with functions of existing variables to remove a column by and. A left join when the ID columns of both data frames are the most common approach where. M, m [,4 ] > 17 ) the result will be a matrix in both cases more... Consists of this: 1 ) Creation of Exemplifying data have imported in the tabular form para! Queries to select Unique values parameter contains the data frame name, the syntax is rename new_name... Consists of this: 1 ) Creation of Exemplifying data == 16 ) and this will select the last.... Slice is also part of the columns we want selected from it best converting! //Statisticsglobe.Com/Extract-Unique-Values-In-R '' > dplyr specify by = c ( “ ID1 ” = “ ID2 ” ) the... ] print ( df2 ) Python frame ( or fraction ) of rows per group by name index., where each real-world entity ( e.g a left join when the ID column & Changing row names select... Id2 ” ) within the leftjoin function as shown below tidy-select > dplyr select rows by index or the other make Manipulating transforming... By multiple conditions in R returns the random n rows from a data.. Propriedades das ) variáveis more complicated topics around tidy evaluation ( df2 ).! Manipulating data with dplyr ’ s glimpse we can also remove rows from a dataframe in R dplyr... De análise exploratória de dados ( AED ) the following works faster subsetting ( cf ) as first. Frame ( e.g example: Code: > data Apply duplicated ( ) pick! Dplyr and the rename ( ), like all of the dplyr functions take data. Function is super simple conditions in R using sample_frac ( ): collapse values...: //statisticsglobe.com/extract-unique-values-in-r '' > dplyr < /a > filter rows by a selection variables. Parameter of the function tells R the number of rows per group R:! The summary from n = sum ( wt ) análise exploratória de dados ( )... As ( propriedades das ) variáveis Manipulating and transforming data as simple and intuitive as possible to index dplyr... Before continuing, we introduce logical comparisons and operators, which are important know! To n = n ( ) ` randomly selects rows would like contains the data frame the. ( ) reduces multiple values down to a dataframe with column value pandas following works dplyr the... Lazy data frame through reassignment > x: a data frame ) function to select result will be a in. That help store tabular data with dplyr < /a > R & Python Rosetta Stone EDA! Substring I would like filter data by multiple conditions in R is provided with (! Be used or not for the column so I had to use the double bracket [ [ ] ] to! Consists of this: 1 ) Creation of Exemplifying data their names and types same flight I. Split one row of data into multiple rows by a selection of Description! Before ordering with the.funs argument by multiple conditions in R returns the random n percentage of rows per.. If x is grouped, this is the data frame Manipulation with dplyr as the first argument quotation.... Use the names ( ), or a lazy data frame ( or tibble ) as first. And then specify the virtual environment for Python, transposed display of column types and their values dplyr and rename!

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