Description Usage Arguments Value Examples
View source: R/replicate_correlation.R
'replicate_correlation' measures replicate correlation of variables.
1 2 3 4 5 6 7 8 9 | replicate_correlation(
sample,
variables,
strata,
replicates,
replicate_by = NULL,
split_by = NULL,
cores = NULL
)
|
sample |
tbl containing sample used to estimate parameters. |
variables |
character vector specifying observation variables. |
strata |
character vector specifying grouping variables for grouping prior to normalization. |
replicates |
number of replicates. |
replicate_by |
optional character string specifying column containing the replicate id. |
split_by |
optional character string specifying column by which to split the sample into batches; replicate correlations will be calculate per batch. |
cores |
optional integer specifying number of CPU cores used for parallel computing using |
data frame of variable quality measurements
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 | set.seed(123)
x1 <- rnorm(10)
x2 <- x1 + rnorm(10) / 100
y1 <- rnorm(10)
y2 <- y1 + rnorm(10) / 10
z1 <- rnorm(10)
z2 <- z1 + rnorm(10) / 1
batch <- rep(rep(1:2, each = 5), 2)
treatment <- rep(1:10, 2)
replicate_id <- rep(1:2, each = 10)
sample <-
tibble::tibble(
x = c(x1, x2), y = c(y1, y2), z = c(z1, z2),
Metadata_treatment = treatment,
Metadata_replicate_id = replicate_id,
Metadata_batch = batch
)
head(sample)
# `replicate_correlation`` returns the median, min, and max
# replicate correlation (across batches) per variable
replicate_correlation(
sample = sample,
variables = c("x", "y", "z"),
strata = c("Metadata_treatment"),
replicates = 2,
split_by = "Metadata_batch",
replicate_by = "Metadata_replicate_id",
cores = 1
)
|
Attaching package: ‘cytominer’
The following object is masked from ‘package:stats’:
aggregate
The following object is masked from ‘package:base’:
transform
# A tibble: 6 x 6
x y z Metadata_treatment Metadata_replicate_id Metadata_batch
<dbl> <dbl> <dbl> <int> <int> <int>
1 -0.560 -1.07 -0.695 1 1 1
2 -0.230 -0.218 -0.208 2 1 1
3 1.56 -1.03 -1.27 3 1 1
4 0.0705 -0.729 2.17 4 1 1
5 0.129 -0.625 1.21 5 1 1
6 1.72 -1.69 -1.12 6 1 2
# A tibble: 3 x 4
variable median min max
<chr> <dbl> <dbl> <dbl>
1 x 1.00 1.00 1.00
2 y 0.996 0.993 0.999
3 z 0.627 0.290 0.964
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