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I came across the R countryref package: https://www.rdocumentation.org/packages/CoordinateCleaner/versions/2.0-11/topics/countryref
A data.frame with coordinates of country and province centroids and
country capitals as reference for the clean_coordinates, cc_cen and
cc_cap functions. Coordinates are based on the Central Intelligence
Agency World Factbook
https://www.cia.gov/library/publications/the-world-factbook/ and
http://thematicmapping.org/downloads/world_borders.php.
Apparently, I can display part of the data via
data(countryref)
head(countryref)
However, my question is: How can I send the data into a new dataframe and export it as CSV?
You can export a data frame as csv using write.csv (for example write.csv(x, "filename.csv").
Related
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I working with a csv that has 234 rows. I thought the length() function was supposed to return the number of rows in my csv, but it returns a much larger number. It gives me 1046860. Does the length function not do what I think it does? What is going on?
I just wanted to double check the length and haven't run any other code yet other than setting up my working directory and attaching a file (Cat6 <- read.csv("Category6.csv")).
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I would like to calculate Mann Attached imageKendall statistics in R. i have an excel sheet with rainfall and years. how would i best get it
Looking at the attached image you should not put Book1$Mean in quotes. Try using:
MannKendall(Book1$Mean)
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(USING R)
So I imported a data set by using
xcars <- read.csv(file.choose())
and then I chose my data set which was originally an excel file.
So, I have a column named dist (short for displacement) and I want to choose the first 25 entries underneath that column and then plot it on a histogram, so I attempted the following.
carsUpTo25 <- xcars(1:25,)
hist(carsUpTo25$dist)
Of course this didn't work. However, any help on how I would do this would be helpful.
Try this-
hist(xcars[,dist[1:10]])
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I am new in R and I would like to ask what is wrong in the following simple command. When i try:
for (k in 1:1){
logdata= logDataset[1:74+k,k]}
logdata collects the values from rows 2:75 of column 1 of the logDataset data frame. But when I use:
logdata=logDataset[1:75,1]
logdata collects correctly the first 75 values of the first column. Why the first command does not work as the second one? How can I use the "for" command for collecting the first 75 values of the first column? Many thanks.
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I'm new to R and trying to load some time series data but I'm stuck at the first hurdle.
I have a dataframe with a date column called Date. The date format of the data is: 23-May-16 (it appears like this in the R console when I print df). To read as date I'm trying:
df$Date <- as.Date(df$Date, "%dd-%bbb-%yy")
as per guidance here
which produces the value <NA> when it reads the data.
Try:
as.Date(df$Date,format="%d-%b-%y")
You only need to list those once:
as.Date("23-May-16", "%d-%b-%y")