Indira,
I think you are wanting to define a new column (target) with "all_true",
"all_false", or "other" based on columns H1, H2, H3, and H8 all being equal to
1, all being equal to 0, and other wise respectively. If so, then you do not
need apply() or ifelse().
I believe this does what you
t of Anthropology
Texas A University
-Original Message-
From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of Indhira, Anusha
Sent: Monday, October 24, 2016 7:06 AM
To: r-help@r-project.org
Subject: Re: [R] using nested ifelse when i want to process values from more
than 3 columns
Got past the syntax error,now I got new error below
Error in match.fun(FUN) : c("'ifelse((kmeans.data$HBV51OpenDmd &
kmeans.data$HBV52OpenDmd & ' is not a function, character or symbol", "'
kmeans.data$HBV53OpenDmd & kmeans.data$HBV8OpenDmd) == 1, ' is not a function,
character or symbol", "'
Hi,
I would like to process each row of data frame having 8 columns of which I am
interested in 4 columns for my analysis.I tried using apply function but I get
syntax error,although I checked for missing syntaxes ,couldn't figure out the
mistake.Can you also suggest me more efficient way to
4 matches
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