Hello,
One of my colleagues sent me a csv file with 12 columns and a lot of rows.
Column1 to Column10 are factors with 2 to 6 levels. Column11 and Column12 are
experimental results.I'm a bit lost with all these data.
I would like- to determine which factors have the most impact, and in which
way
Hello,
I'm using the gather function from the tidyr package to reshape data.frames.
For example, for the the following dataframe, I apply the command
below.df_initial<-data.frame(col1name=c(1,2,3,4,5,6,7),
col2name=c(4,5,6,7,8,9,1),
col3name=c(9,8,7,6,5,4,3))df_reshaped<-gather(df_initial, "col1
Hello,
I have files from an equipment with column names including dots.I would like to
simplify these names but all my attempts with sub and regular expressions are
unsuccessful.
I havec(
"colone..xx.","coltwo.ft..rr.","colthree.gh..az.","colfour.DG..lm.")and I would
like to have c( "colone","c
Hello,
I have two sets of measurement :with the same x sequence
:x1<-1:10y1<-c(5,4.6,4.4,4.2,4,3.8,3.7,3.6,3,1)
x2<-1:10y2<-c(5,4.8,4.6,4.4,4.1,4,3.8,3.6,2.8,1)
I would like to sum these two curves in terms of x for a given sequence of y
(for example : y<-c(5,4.5,4,3.5,3,2.5,2,1.5,1)), that is to
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