[R] Plot dataframe with color based on a column value

[Bert Gunter]

No. I was wrong. ?plot.default says only one line color (the first) will be
used. So it appears that you need to use lines().

Bert Gunter

"The trouble with having an open mind is that people keep coming along and
sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )


On Sun, Jan 24, 2021 at 8:41 AM Bert Gunter <bgunter.4567 using gmail.com> wrote:

> 1. lines() *is* base R.
>
> 2. See the col argument of ?plot.default.
>
>
> Bert Gunter
>
> "The trouble with having an open mind is that people keep coming along and
> sticking things into it."
> -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
>
>
> On Sun, Jan 24, 2021 at 6:48 AM Luigi Marongiu <marongiu.luigi using gmail.com>
> wrote:
>
>> Hello
>> is it possible to color the data of a dataframe according to the
>> values of one column?
>> I have a dataframe that OI have subdivided into X and Y, with a third
>> Z with the sample number. I would like to plot Y~X but coloring using
>> Z. But I would like to use base R and not lines.
>> Is that possible?
>> Thank you
>>
>> ```
>> d <- 2
>> K <- 10^13
>> A1_0 <- 1
>> A2_0 <- 100
>> A3_0 <- 500
>> A4_0 <- 10000
>> PCR <- function(initCopy, dupRate, Carry) {
>>   ROI_T = initCopy
>>   A = array()
>>   for (i in 1:45) {
>>     ROI_TplusOne <- ROI_T * dupRate * (1 - ROI_T/Carry)
>>     A[i] <- ROI_TplusOne
>>     ROI_T <- ROI_TplusOne
>>   }
>>   return(A)
>> }
>> A1 <- PCR(A1_0, d, K)
>> A2 <- PCR(A2_0, d, K)
>> A3 <- PCR(A3_0, d, K)
>> A4 <- PCR(A4_0, d, K)
>> # store results and plot
>> Z <- c(rep(1, 45), rep(2, 45), rep(3, 45), rep(4, 45))
>> X = rep(1:45,4)
>> Y = c(A1, A2, A3, A4)
>> ROI <- data.frame(Z, X, Y)
>> plot(Y ~ X, data = ROI, type = "l", lwd = 3)
>> ```
>>
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>

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