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In the following, the first version works, the second one gives an error.
`mydata3 <- mydata_test colnames(mydata3) <- c("Experiment", "Condition", "time", "name", "value") avData3 <- align_me( data = mydata3, model = "yi / sj", error_model = "value * sigmaR", distinguish = yi ~ name + time + Condition, scaling = sj ~ name + Experiment, error = sigmaR ~ name + 1, parameter_fit_scale = "linear", normalize = TRUE, average_techn_rep = FALSE, names_as_factors = TRUE, verbose = FALSE, normalize_input = TRUE )
mydata3 <- mydata_test colnames(mydata3) <- c("Experiment", "Condition", "min", "name", "value") avData3 <- align_me( data = mydata3, model = "yi / sj", error_model = "value * sigmaR", distinguish = yi ~ name + min + Condition, scaling = sj ~ name + Experiment, error = sigmaR ~ name + 1, parameter_fit_scale = "linear", normalize = TRUE, average_techn_rep = FALSE, names_as_factors = TRUE, verbose = FALSE, normalize_input = TRUE ) `
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In the following, the first version works, the second one gives an error.
`mydata3 <- mydata_test
colnames(mydata3) <- c("Experiment", "Condition", "time", "name", "value")
avData3 <- align_me(
data = mydata3,
model = "yi / sj",
error_model = "value * sigmaR",
distinguish = yi ~ name + time + Condition,
scaling = sj ~ name + Experiment,
error = sigmaR ~ name + 1,
parameter_fit_scale = "linear",
normalize = TRUE,
average_techn_rep = FALSE,
names_as_factors = TRUE,
verbose = FALSE,
normalize_input = TRUE
)
mydata3 <- mydata_test
colnames(mydata3) <- c("Experiment", "Condition", "min", "name", "value")
avData3 <- align_me(
data = mydata3,
model = "yi / sj",
error_model = "value * sigmaR",
distinguish = yi ~ name + min + Condition,
scaling = sj ~ name + Experiment,
error = sigmaR ~ name + 1,
parameter_fit_scale = "linear",
normalize = TRUE,
average_techn_rep = FALSE,
names_as_factors = TRUE,
verbose = FALSE,
normalize_input = TRUE
)
`
The text was updated successfully, but these errors were encountered: