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I loaded a RDS file. The file contains a numeric field. When I say
class(NEI$Emissions)
it returns
"numeric"
The data is in maximum 3 digits and contains 3 digits of decimal. However, when I issue the command
max(NEI$Emissions)
it returns a huge number.
646952
How can I use the numeric values as it is?
R doesn't lie. One of your data points is not what you expect.
Find which row has the problem with this command:
which.max(NEI$Emissions)
then examine that row of your original data. You will find the errant value.
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I run my program written as a function. In that function, variable x is updated several times due to optimization. Finally, it gives the output of the matrix x and the value of convergence. How can I extract the value of x and have it to insert into another program?
First, I run the function, then I put a value in place of the input of the function, and finally it outputs the value of the matrix x. But I can't extract it to use in another program.
The x matrix in the output is $x. But when I write in the console x gives an error.
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I have a column with a range 1:5. Many vectors contain the value twice, for example (33) instead of (3) and (11) instead of 1. Is there any code to delete these duplicates and keep one number within a vector?
Thanks a lot
Say your column is named y:
substr(y,1,1)
Takes from the first digit to the first digit (i.e. only the first) of y (element-wise). But substr outputs a character, to transform it back to numeric:
as.numeric(substr(y,1,1))
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How come I am able to pass a dataframe into the dparams argument of the geom_qq() function, when it is specified as a list type argument?
Is it because a dataframe is technically a list of equal length vectors?
I would say so. A data frame can in general be treated like a list, not necessarily the other way around though.
Without knowing your data, your general idea is correct.
See also:
http://www.r-tutor.com/r-introduction/data-frame
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I'm working on a project in R, regarding baseball. I have two CSV's that I'm working with. One file, CSV2: "PitchingPost.csv" is all postseason pitching stats, and the column I'm looking at there is the "teamID". I'm trying to evaluate regular season pitching stats in another file, CSV1: "pitching.csv" but only for teams that made the postseason. So I'm trying to remove all of the items in the "teamID" of CSV1 EXCEPT for those occur in CSV2 "teamID".
Help?
To keep only the rows from your first file that share an ID with rows in your second file, you could try something like that:
pitch <- read.csv("pitching.csv")
pitch_post <- read.csv("PitchingPost.csv")
pitch <- pitch[pitch$teamID %in% unique(pitch_post$teamID),]
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Without using a special function, can you do the following to change the values in an R dataframe from a column that have length greater than 4:
df[length(df$Column1)>4,"Column1"] = "replacement value"
This does not seem to work, is there an alternative index style I can use, or do I need to use a function?
Thanks
The function to determine the length of an entry, like a word in a dataframe, is nchar(), and not length(). The latter is typically used to determine the number of entries in a vector.
You could therefore try using:
df[nchar(df$Column1) > 4, "Column1"] <- "replacement value"