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I have been able to run my data (5 slides, 1 image each) through the basic workflow. When I tried to run the mx_flex_q50 as shown in the CRAN vignette I received the following error:
Error in if (any(data_values == Inf | data_values == -Inf)) { :
missing value where TRUE/FALSE needed
In addition: Warning message:
There was 1 warning in dplyr::mutate().
ℹ In argument: dplyr::across(all_of(cols), quantile, ptile).
ℹ In group 1: slide_id = "20-06-cc2C".
Caused by warning:
! The ... argument of across() is deprecated as of dplyr 1.1.0.
Supply arguments directly to .fns through an anonymous function instead.
Previously
across(a:b, mean, na.rm = TRUE)
Now
across(a:b, (x) mean(x, na.rm = TRUE))
This warning is displayed once every 8 hours.
Call lifecycle::last_lifecycle_warnings() to see where this warning was generated.
There is no error when running the sample dataset. Could this be caused by zeros in my dataset?
The text was updated successfully, but these errors were encountered:
Hello,
I have been able to run my data (5 slides, 1 image each) through the basic workflow. When I tried to run the mx_flex_q50 as shown in the CRAN vignette I received the following error:
Error in if (any(data_values == Inf | data_values == -Inf)) { :
missing value where TRUE/FALSE needed
In addition: Warning message:
There was 1 warning in
dplyr::mutate()
.ℹ In argument:
dplyr::across(all_of(cols), quantile, ptile)
.ℹ In group 1:
slide_id = "20-06-cc2C"
.Caused by warning:
! The
...
argument ofacross()
is deprecated as of dplyr 1.1.0.Supply arguments directly to
.fns
through an anonymous function instead.Previously
across(a:b, mean, na.rm = TRUE)
Now
across(a:b, (x) mean(x, na.rm = TRUE))
This warning is displayed once every 8 hours.
Call
lifecycle::last_lifecycle_warnings()
to see where this warning was generated.There is no error when running the sample dataset. Could this be caused by zeros in my dataset?
The text was updated successfully, but these errors were encountered: