## Using aggregate to sum a numerical variable, according to categorical data in another character column (R)

**Using aggregate to sum a numerical variable, according to ** - What did you call exactly? What is the str of your data.frame ? mdf <- data.frame(
A = c(1,0,0,0,1), B = c(23, 7 ,23, 7,4) aggregate( A ~ B, mdf,

**R Aggregate Function: Summarise & Group_by() Example** - Summary of a variable is important to have an idea about the data. Although
the data. In this tutorial, you will learn how summarize a dataset by group with the
dplyr library. Numeric; G: Games: number of games by a player. Numeric .
Another useful function to aggregate the variable is sum(). You can

**Aggregate: Aggregate numeric and categorical variables by an ID in ** - It also creates dummies for all categorical variables (character and factor) and
with aggregate ) prepares a data frame for merging by computing the sum, mean
and Relationship Management using SAS, Oracle and R, Springer,
Forthcoming. See Also. Other functions in this package: imputeMissings ,
Aggregate

**Aggregate – A Powerful Tool for Data Frame in R** - This post gives a short review of the aggregate function as used for The
function to apply has to be able to accept a vector (since it will be called with
parts of a column of a data.frame as input). used aggregate along different
variables to get the different totals. The FUN in this case was of course sum .

**Manipulating data with R** - In today's class we will process data using R, which is a very powerful tool, . chr
means “character,” or a string of text (which can be treated as a categorical
total in the pfizer data to a numeric variable (which would allow it to hold decimal
values Summarize/Aggregate: Deriving one value from a series of other values
to

**Aggregate** - Aggregating Data. It is relatively easy to collapse data in R using one or more BY
variables and a defined function. # aggregate data frame mtcars by cyl and vs,

**4 data wrangling tasks in R for advanced beginners** - R is mighty, but it can be complex for data tasks. Learn how to get summaries,
sort and do other tasks with relative ease. Learn how to add columns, get
summaries, sort your results and reshape The code above will create a data
frame like the one below, stored in a variable named "companiesData":

**Counting and aggregating in R** - A short post about counting and aggregating in R, because I learned a Just tell
count which data frame you're using, then which columns you want aggregate(
cost ~ name + drink, data = bevs, sum) name drink cost 1 Bill

**Aggregation and Restructuring data (from "R in Action")** - When you aggregate data, you replace groups of observations with summary
describes the design and performance characteristics (number of cylinders, In
the latter case, row names become variable (column) names. gears, returning
means on each of the numeric variables (see the next listing).

**How to Get the Frequency Table of a Categorical Variable as a Data ** - Let's use the mtcars data set that is built into R as an example. does not retain
the variable name “gear” in the corresponding column name.

## r aggregate mean by group

**Mean per group in a data.frame** - Here we aggregate columns 3 and 4 of data.frame d , grouping by d$Name , and
.. of ways to do this in base R including an alternative aggregate approach.

**Grouped means (again)** - So, the post I did yesterday on aggregate seemed to go down well. To make
the group means we simply use aggregate as I mentioned

**How to Aggregate Data in R** - The data that we want to aggregate; The variable to group by within the
Because we cannot calculate the average of categorical variables

**Aggregate** - It is relatively easy to collapse data in R using one or more BY variables and a
defined function. # aggregate data frame mtcars by cyl and vs, returning means

**How to summarize data by group in R?** - aggregate(data$age, by=list(data$group), FUN=mean)[2] .. I really suggest to
work through a basic R tutorial explaining all commonly used

**R Aggregate Function: Summarise & Group_by() Example** - In this tutorial, you will learn how summarize a dataset by group with the
summarise(data, mean_run = mean(R)): Creates a variable named

**[R] how calculate mean for each group** - Previous message: [R] how calculate mean for each group; Next follows:
aggregate(df$treatment, list(gp=df$group, dup=df$duplicate), mean)

**Aggregate – A Powerful Tool for Data Frame in R** - Aggregate is a function in base R which can, as the name suggests, aggregate
to compare the mean or other properties of sample groups.

**Aggregating and analyzing data with dplyr** - Apply common dplyr functions to manipulate data in R. Employ the 'pipe' to split
the data into groups, apply analysis to each group, and combine the results. .
For example, in the R base package we can use built-in functions like mean

**Using dplyr to group, manipulate and summarize data** - The function n() is one of several aggregate functions that are useful to employ
with summarise on grouped data. Besides the typical ones like mean , max , etc.,

## aggregate categorical data in r

**Aggregate: Aggregate numeric and categorical variables by an ID in ** - The Aggregate function (not to be confounded with aggregate ) prepares a data frame for merging by computing the sum, mean and variance of all continuous (integer and numeric) variables by a given ID variable.

**How to aggregate count of unique values of categorical variables ** - Try aggregate(x2~x1, data, FUN=function(x) length(unique(x))) # x1 x2 #1 a 3 #2
b 2. Or rowSums(table(unique(data))). Or library(dplyr) data %>% group_by(x1)

**How to Aggregate Data in R** - The data that we want to aggregate; The variable to group by within the
Because we cannot calculate the average of categorical variables

**Aggregate function** - Aggregate numeric and categorical variables by an ID. The Aggregate function (not to be confounded with aggregate ) prepares a data frame for merging by computing the sum, mean and variance of all continuous (integer and numeric) variables by a given ID variable.

**How to Aggregate Data in R** - In this post, I'll show you how you can easily aggregate data in R. Because we
cannot calculate the average of categorical variables such as Name and Shift,

**Aggregate data** - Separate descriptive statistics for each group. ave(); tapply(). Aggregate data
frames. Simulate data; Apply the same function to different variables in a data
frame

**Aggregate** - Aggregating Data. It is relatively easy to collapse data in R using one or more BY
variables and a defined function. # aggregate data frame mtcars by cyl and vs,

**How to summarize categorical data?** - (Google "r frequency crosstabs" or go to the aforementioned statmethods.net);
Correlograms. Visualizing Categorical Data: Data, Stories, and Pictures over
items and then aggregate over your sample of respondents, the

**How to Get the Frequency Table of a Categorical Variable as a Data ** - I recently needed to get a frequency table of a categorical variable in R, and I
wanted the output as a data table that I can access and

**R Aggregate Function: Summarise & Group_by() Example** - Summary of a variable is important to have an idea about the data. Although,
summarizing a variable by group gives better information on the

## r aggregate count

**Count number of rows within each group** - Then aggregate dataframe, summing by the Count column: Considering @Ben
answer, R would throw an error if df1 does not contain x

**Count number of values in R** - with base R aggregate(ClaimDay~day,FUN=length,data=mydata) library(sqldf)
sqldf('select count(ClaimDay) as ClaimDay, day from mydata group by day')

**Counting and aggregating in R** - A short post about counting and aggregating in R, because I learned .
aggregate(cost ~ name + drink, data = bevs, sum) name drink cost 1 Bill

**R Aggregate Function: Summarise & Group_by() Example** - Count. Count observations by group is always a good idea. With R, you can
aggregate the the number of occurence with n(). For instance, the

**Aggregate functions function** - The aggregate functions included are mean, sum, count, max, min, standard
deviation, and variance. Also included is a function to compute the mean value of

**How to Aggregate Data in R** - The data that we want to aggregate; The variable to group by within Maximum,
minimum, count, standard deviation and sum are all popular.

**Aggregate – A Powerful Tool for Data Frame in R** - Aggregate is a function in base R which can, as the name suggests, aggregate
the inputted data.frame d.f by applying a function specified by

**Count/tally observations by group** - Source: R/count-tally. These functions are to tally() and count() as mutate() is to
summarise() : they add an additional column rather than collapsing each group

**R help - Count values in a dataframe with respect to groups** - Dear all, I am looking for a function to count values belonging to a class At the
moment, I am trying to find a function for FUN in aggregate, but

**Summarizing data** - The aggregate function is more difficult to use, but it is included in the Get a
count of number of subjects in each category

## r aggregate group by multiple columns

**Group by multiple columns and sum other multiple columns** - excluding group columns. (Aside: If you need to refer to group columns
generically, they are in .BY .) This gives per groupColumns the sum of the
columns specified in dataColumns. In base R this would be aggregate(

**Aggregate multiple columns at once** - We can use the formula method of aggregate . The variables on the 'rhs' of ~ are
the grouping variables while the . represents all other

**dataset** - library(dplyr) library(tidyr) df %>% group_by(country, gender) %>% summarise(
total_loan_amount =sum(loan_amount)) %>% spread(gender,

**Aggregating and analyzing data with dplyr** - Apply common dplyr functions to manipulate data in R. Employ the 'pipe'
Selecting columns and filtering rows . You can group by multiple columns too:.

**R Aggregate Function: Summarise & Group_by() Example** - Although, summarizing a variable by group gives better information on the R
Aggregate Function: Summarise & Group_by() Example Count; First and last;
nth observation; Multiple groups; Filter; Ungroup a variable named mean_run
which is the average of the column run from the dataset data.

**group_by: Group by one or more variables in dplyr: A Grammar of ** - A grouped data frame, unless the combination of and add yields a non empty
set of grouping columns, a regular (ungrouped) data frame otherwise.

**smartAgg: Aggregate multiple columns using different functions in ** - It is equivalent to the base R aggregate function, except that it allows the user to
to the grouping variables in by followed by aggregated columns from df.

**How to use group by for multiple columns in dplyr, using string ** - Make columns with weird names data = data.frame( zzz11def = sample(
LETTERS[1:3], . How to find out the sum/mean for multiple variables per group
in R?

**How to sum a variable by group in R?** - I have a data frame of consisting two columns "Players" & "points" x<-data.frame(
Players=c(" Players x 1 Player1 28 2 Player2 33 3 Player3 47.

**Aggregate – A Powerful Tool for Data Frame in R** - Aggregate (data.frame): Technical Overview Aggregate is a function in base R
returns multiple values, the class of the columns of the result data.frame will be
list to compare the mean or other properties of sample groups.

## aggregate function in r example

**How to Aggregate Data in R** - Load the example data by running the following R code: The aggregate
function has a few more features to be aware of: Grouping variable(s)

**Aggregate – A Powerful Tool for Data Frame in R** - Aggregate is a function in base R which can, as the name suggests, aggregate the inputted data.frame d.f by applying a function specified by the FUN parameter to each column of sub-data.frames defined by the by input parameter. The by parameter has to be a list .

**Aggregate** - Aggregating Data. It is relatively easy to collapse data in R using one or more BY
variables and a defined function. # aggregate data frame mtcars by cyl and vs,

**Using aggregate and apply in R** - A short post on using the aggregate and apply functions in R based on and to
reinforce my own understanding I'll provide the examples here.

**R Aggregate Function: Summarise & Group_by() Example** - Summary of a variable is important to have an idea about the data. Although,
summarizing a variable by group gives better information on the

**aggregate function** - Details. aggregate is a generic function with methods for data frames and time
series. . New example Use markdown to format your example R code blocks
are

**Aggregate() Function in R** - Aggregate() Function in R Splits the data into subsets, computes summary a
simple example of aggregate function in R. We all know about iris dataset.

**How to Aggregate Data in R** - In this post, I'll show you how you can easily aggregate data in R. These two
stages are wrapped into a single function. To perform Example data. The raw

**aggregate()** - Tag: aggregate(). Printing nested tables in R – bridging between the {reshape}
and {tables} packages Here is an example for how to load and use the function
:

**Compute Summary Statistics of Data Subsets** - The non-default case drop=FALSE has been amended for R 3.5.0 to drop
aggregate is a generic function with methods for data frames and time series.
example with character variables and NAs testDF <- data.frame(v1 = c(1,3,5,7,8,3
,5

## r aggregate function multiple arguments

**R aggregate with multiple arguments in function** - R aggregate with multiple arguments in function. Im tryng to avoid a time consuming for loop by using an aggregate on a data.frame. But I need that the values of one of the columns enters in the final computation.

**Aggregate – A Powerful Tool for Data Frame in R** - Aggregate is a function in base R which can, as the name suggests, aggregate the inputted data.frame d.f by applying a function specified by the FUN parameter to each column of sub-data.frames defined by the by input parameter. The by parameter has to be a list .

**[R] Aggregate with functions using multiple arguments** - Hello, I would like to use aggregate with a function that requires several
argument that are columns of data. As a simple example, suppose I

**Compute Summary Statistics of Data Subsets** - tolerance used to decide if nfrequency is a sub-multiple of the original frequency.
aggregate is a generic function with methods for data frames and time series.
FUN is applied to each such subset with further arguments in passed to it.

**YaRrr! The Pirate's Guide to R** - You can also include a subset argument within an aggregate() function to apply
the multiple independent variables in the formula argument to aggregate() .

**R help - aggregate() with multiple functions** - aggregate() with multiple functions. hi all - i'm just wondering what sort of code
people write to essentially performa an aggregate call, but with

**aggregation - R - aggregate with additional argument** - The function 'fun' should take multiple numbers, and return a single It should
also accept a 'na.rm' argument (or ignore it as one of the 'dots'

**Aggregating and analyzing data with dplyr** - Apply common dplyr functions to manipulate data in R. Employ the 'pipe' The
first argument to this function is the data frame ( metadata ), and the subsequent
arguments are . You can also summarize multiple variables at the same time:.

**aggregate function** - tolerance used to decide if nfrequency is a sub-multiple of the original frequency.
aggregate is a generic function with methods for data frames and time series.
FUN is applied to each such subset with further arguments in … passed to it.

**R Aggregate Function: Summarise & Group_by() Example** - summarise(df, variable_name=condition) arguments: - `df`: Dataset used to .
Another useful function to aggregate the variable is sum().