Plot dataframe with color based on a column value
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 at 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 at 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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