I use check.names=FALSE more often than not, and I almost never end up changing
them "anyway". Back-ticks as quotes are very effective at allowing unusual
column names to be used in R code. (The only exception I have to this is when
programatically building formulas the eval step gets quite conv
On 10/25/2021 7:09 AM, Philip Monk wrote:
Hello,
First post - apologies if I get anything wrong - either in describing the
question (I've only been using R for a week) or etiquette.
I have CSV files of Land Surface Temperature (LST) data derived from
Landsat 8 data and exported from Google Eart
You did not say which function you used to import the csv file, but it looks
like you probably used read.csv without setting the check.names argument to
FALSE.
Whether you change that out not, once you have reshaped the data, you can use a
format specifier with as.Date to extract a date. (See ?
Well, both newbies and oldies need to read and follow the Help files
carefully. In this case, note the "check.names" argument of ?read.csv. You
need to set it to FALSE in your (omitted) read.csv call, because your
strings are not syntactically valid names (follow the "make.names" link to
learn wha
Hello,
First post - apologies if I get anything wrong - either in describing the
question (I've only been using R for a week) or etiquette.
I have CSV files of Land Surface Temperature (LST) data derived from
Landsat 8 data and exported from Google Earth Engine. I am investigating
whether the co
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