Hi Bert,
your code worked perfect. you always make me learn new R code skills!
Thank you so much!!
Ding
From: Bert Gunter [bgunter.4...@gmail.com]
Sent: Tuesday, April 7, 2020 12:53 PM
To: Yuan Chun Ding
Cc: r-help mailing list
Subject: Re: [R] to
You can use subscripting to generalize and avoid multiply nested
ifelse's which, I agree, can be a nightmare. However, you have to be
very careful about the logic of the conditions you create and the
order in which you apply them. It is very easy to wipe out an earlier
relationship with a later
Hi Thierry,
the values in the example data frame are fake numbers, my original data frame
has hundreds of row and values are in wide range, not min or max of two
variables, also the number 23 is also different in different data frames.
I agree I need to use vectorized ifelse, but I got
Dear Ding,
It seems that you are looking for the ifelse() function. Clear use of
pmax() and pmin() reduces the number of if statements.
m1 <- c(12, 23, 22, 23)
m2 <- c(23, 23, 3, 5)
Ravg <- ifelse(
pmax(m1, m2) == 23,
pmin(m1, m2),
(m1 + m2) / 2
)
Best regards,
ir. Thierry Onkelinx
Hi R users,
I want to create a new variable, Ravg, in data frame tem2 based on values of
two other variables m1 and m2.
the condition:
if m1 = 23 and m2 =23 then Ravg =23;
else if m1 != 23 and m2=23 then Ravg =m1;
else if m1 =23 and m2 !=23 then Ravg=m2;
else Ravg=average of m1 and m2;
the
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