Create a sequence of values by group between a min and max interval using dplyr - r

Question

this is surely a basic question but couldn't find a way to solve.
I need to create a sequence of values for a minimum (dds_min) to maximum (dds_max) per group (fs).
This is my data:
fs <- c("early", "late")
dds_min <-as.numeric(c("47.2", "40"))
dds_max <-as.numeric(c("122", "105"))
dds_min.max <-as.data.frame(cbind(fs,dds_min, dds_max))
And this is what I did....
dss_levels <-dds_min.max %>%
group_by(fs) %>%
mutate(dds=seq(dds_min,dds_max,length.out=100))
I intended to create a new variable (dds), that has to be 100 length and start and end at different values depending on "fs". My expectation was to end with another dataframe (dss_levels) with two columns (fs and dds), 200 values on it.
But I am getting this error.
Error: Column `dds` must be length 1 (the group size), not 100
In addition: Warning messages:
1: In Ops.factor(to, from) : ‘-’ not meaningful for factors
2: In Ops.factor(from, seq_len(length.out - 2L) * by) :
‘+’ not meaningful for factors
Any help would be really appreciated.
Thanks!

Answer 1

I make the sequence length 5 for illustrative purposes, you can change it to 100.
library(purrr)
library(tidyr)
dds_min.max %>%
mutate(dds= map2(dds_min, dds_max, seq, length.out = 5)) %>%
unnest(cols = dds)
# # A tibble: 10 x 4
# fs dds_min dds_max dds
# <fct> <dbl> <dbl> <dbl>
# 1 early 47.2 122 47.2
# 2 early 47.2 122 65.9
# 3 early 47.2 122 84.6
# 4 early 47.2 122 103.
# 5 early 47.2 122 122
# 6 late 40 105 40
# 7 late 40 105 56.2
# 8 late 40 105 72.5
# 9 late 40 105 88.8
# 10 late 40 105 105
Using this data (make sure your numeric columns are numeric! Don't use cbind!)
fs <- c("early", "late")
dds_min <-c(47.2, 40)
dds_max <-c(122, 105)
dds_min.max <-data.frame(fs,dds_min, dds_max)