Suppose we create a data.frame like this: > hugs_per_day <- rnorm(10) > hugs_per_day <- as.data.frame(hugs_per_day)
When converting a data frame with mixed factor and numeric columns to an xts, all of my data gets converted to strings. This isn\'t a problem with the factors, but it\'s extremely annoying with the nu
I have a function foo that takes a data frame as input and returns a ggplot object as output. I need to use the name of the data frame as the title of the plot. I am unable to figure out how to do thi
What is an easy way of coercing time series data to a data frame, in a format where the resulting data is a summary of the original?
I\'d like to take data of the form before = data.frame(attr = c(1,30,4,6), type=c(\'foo_and_bar\',\'foo_and_bar_2\'))
I have a data frame containing data about student lateness to various classes. Each row contains data about a late student and his class: date and time of the class, name of the class, class size, num
I\'m trying to convert a data frame to xts object using the as.xts()-method. Here is my input dataframe q:
I have a dataframe called ants detailing multiple entries per site, looks like this: SiteDateTimeTemp SpCond Salinity Depth Turbidity Chlorophyll
I would like to transform/modify the content of dataframe. Basically I have a dataframe like below: binspval
I have three or more independent variables represented as R vectors, like so: A <- c(1,2,3) B <- factor(c(\'x\',\'y\'))
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