How to plot 3D in R with multi-conditions - r

Question

I have data set with 3 features as below:
V1 V2 V3
0.268 0.917 0.191
0.975 0.467 0.447
0.345 0.898 0.984
0.901 0.043 0.456
0.243 0.453 0.964
0.001 0.464 0.953
0.998 0.976 0.978
0.954 0.932 0.923
How to plot this data in 3D graphic based on the following conditions giving different colour for each condition.
(v1>=0.90 && v3>=0.90 && v3>=0.90) || (v1>=0.90 && v3< 0.50 && v3< 0.50) || (v1 < 0.50 && v3>=0.90 && v3< 0.50)|| (v1< 0.50 && v3< 0.50 && v3>=0.90)

Answer 1

I assumed the second statement in each condition is referring to V2, which makes more sense. To color the points according to which condition is met first you need to create a column with that value:
df = data.frame(
"V1" = c(0.268,0.975,0.345,0.901,0.243,0.001,0.998,0.954),
"V2" = c(0.917,0.467,0.898,0.043,0.453,0.464,0.976,0.932),
"V3" = c(0.191,0.447,0.984,0.456,0.964,0.953,0.978,0.923)
)
df = df %>%
mutate(
group = case_when(
V1 >= 0.9 & V2 >= 0.9 & V3 >=0.9 ~ "1",
V1 >= 0.9 & V2 < 0.5 & V3 < 0.5 ~ "2",
V1 < 0.5 & V2 >= 0.9 & V3 <0.5 ~ "3",
V1 <0.5 & V2 <0.5 & V3 >=0.9 ~ "4",
T ~ "5"
))
Then we can use the plotlyor scatterplot3d packages to build the graph:
scatterplot3d(x=df$V1,y=df$V2,z=df$V3,color=df$group)
plot_ly(x=df$V1,y=df$V2,z=df$V3,color = df$group)

Answer 2

You can start by creating a logical vector using the vectorized &;|
# Create the logical vector
ind <- (mat$v1>=0.90 & mat$v3>=0.90 & mat$v3>=0.90) | (mat$v1>=0.90 & mat$v3< 0.50 & mat$v3< 0.50) |
(mat$v1 < 0.50 & mat$v3>=0.90 & mat$v3< 0.50) | (mat$v1< 0.50 & mat$v3< 0.50 & mat$v3>=0.90)
And now one can plot it e.g. using the plotly
# plot
plotly::plot_ly(x = mat$v1[ind], y = mat$v2[ind], z = mat$v3[ind])
With the data
mat = structure(list(v1 = c(0.268, 0.975, 0.345, 0.901, 0.243, 0.001,
0.998, 0.954), v2 = c(0.917, 0.467, 0.898, 0.043, 0.453, 0.464,
0.976, 0.932), v3 = c(0.191, 0.447, 0.984, 0.456, 0.964, 0.953,
0.978, 0.923)), class = "data.frame", row.names = c(NA, -8L))