[R] If statement

[Jeff Newmiller]

Use ifelse function, not if. If is only good for one logical value at a time, but you are working with long vectors of values simultaneously. I have no interest in doing all of your workfor you, but the concept is

cpl_or_sngl <- dat1$b %in% c( "couple", "single" )
a_pvt <- "private" == dat1$a
dat1$z <- with( dat1, ifelse( a_pvt & cpl_or_sngl, a, "Zero" ) )
dat1$y <- with( dat1, ifelse( a_pvt & cpl_or_sngl, c, 0 ) )

On September 12, 2019 4:06:59 PM PDT, Val <valkremk using gmail.com> wrote:
>Hi all,
>
>I am trying to use the  if else statement and create  two new columns
>based on the existing two columns.  Below please find my sample data,
>
>dat1 <-read.table(text="ID  a b c d
>A private couple  25 35
>B private single  24 38
>C none  single    28 32
>E none none 20 36 ",header=TRUE,stringsAsFactors=F)
>
>dat1$z <- "Zero"
>dat1$y <-  0
>
>if a is "private" and (b is either "couple" rr "single"
>    then  z value = a's value   and y value = c's value
>if a is "none" and  ( b is either couple of single then  z= private
>  then  z value =b's value  qnd  y value= d's value
>else z value= Zero and y value=0
>
>the desired out put looks like
>ID          a      b      c     d     z       y
>1  A private couple 25 35 private 25
>2  B private single 24 38 private 24
>3  C    none single 28 32 single  32
>4  E    none   none 20 36 Zero    0
>
>my attempt
>
>if (dat1$a =="private"  &  (dat1$b =="couple"| dat1$b =="single"))
>{
>      dat1$z      <-   dat1$a
>      dat1$y      <-   dat1$c
>}
>
>else if (dat1$a =="none"  &  (dat1$b =="couple"| dat1$b =="single")) {
>    dat1$z      <-   dat1$b
>    dat1$y      <-   dat1$c
>  }
>else
>{ default value}
>did not wok, how could I fix this?
>Thank you in advance
>
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-- 
Sent from my phone. Please excuse my brevity.