1+
12---
23output:
34 html_document:
@@ -206,7 +207,6 @@ total_row <- agg_ref_type %>%
206207 reference_label = "Total",
207208 assigned_type = "",
208209 effective_count = sum(effective_count, na.rm = TRUE),
209- base = sum(base, na.rm=TRUE),
210210 counts_wo_lambda = sum(counts_wo_lambda, na.rm = TRUE),
211211 pct_wo_lambda = sum(pct_wo_lambda, na.rm = TRUE)
212212 )
@@ -220,7 +220,6 @@ flextable(agg_ref_type_with_total %>% select(! c(pct_vector, pct_total))) %>%
220220 "Mapped Reference",
221221 "Assigned Type",
222222 "Counts",
223- "Base Counts",
224223 "Counts Excluding Lambda",
225224 "Frequency (%, Excluding Lambda)"
226225 ))
@@ -259,7 +258,6 @@ total_row <- vectypes %>%
259258 summarise(
260259 assigned_type = "Total",
261260 effective_count = sum(effective_count, na.rm = TRUE),
262- base = sum(base, na.rm = TRUE),
263261 pct_vector = sum(pct_vector, na.rm = TRUE),
264262 pct_wo_lambda = sum(pct_wo_lambda, na.rm = TRUE)
265263 )
@@ -268,11 +266,10 @@ total_row <- vectypes %>%
268266vectypes_with_total <- bind_rows(vectypes, total_row)
269267
270268# Create the flextable with reordered columns
271- flextable(vectypes_with_total %>% select(assigned_type, effective_count, base, pct_wo_lambda, pct_vector)) %>%
269+ flextable(vectypes_with_total %>% select(assigned_type, effective_count, pct_wo_lambda, pct_vector)) %>%
272270 set_header_labels(values = c(
273271 "Assigned Type",
274272 "Counts",
275- "Base Count",
276273 "Frequency (%, Excluding Lambda)",
277274 "GOI Vector Frequency (%)"
278275 ))
@@ -347,7 +344,6 @@ total_row <- agg_subtype %>%
347344 assigned_type = "Total",
348345 assigned_subtype = "",
349346 effective_count = sum(effective_count, na.rm = TRUE),
350- base = sum(base, na.rm=TRUE),
351347 pct_vector= sum(pct_vector, na.rm = TRUE),
352348 pct_wo_lambda = sum(pct_wo_lambda, na.rm = TRUE)
353349 )
@@ -356,13 +352,12 @@ total_row <- agg_subtype %>%
356352agg_subtype_with_total <- bind_rows(agg_subtype, total_row)
357353
358354# Create the flextable with reordered columns
359- flextable(agg_subtype_with_total %>% select(assigned_type, assigned_subtype, effective_count, base, pct_wo_lambda, pct_vector)) %>%
355+ flextable(agg_subtype_with_total %>% select(assigned_type, assigned_subtype, effective_count, pct_wo_lambda, pct_vector)) %>%
360356 set_header_labels(
361357 values = c(
362358 "Assigned Type",
363359 "Assigned Subtype",
364360 "Counts",
365- "Base Counts",
366361 "Frequency (%, Excluding Lambda)",
367362 "GOI Vector Frequency (%)"
368363 )
@@ -640,11 +635,12 @@ if (exists("df.flipflop") && (nrow(df.flipflop) > 1)) {
640635
641636``` {r fftable, message=FALSE, warning=FALSE, results='asis'}
642637if (exists("df.flipflop") && (nrow(df.flipflop) > 1)) {
643- flextable(df.flipflop) %>%
644- set_header_labels(values = c("type", "subtype", "leftITR", "rightITR", "count", "base counts" ))
638+ flextable(df.flipflop %>% select(! c("base")) ) %>%
639+ set_header_labels(values = c("type", "subtype", "leftITR", "rightITR", "count"))
645640}
646641```
647642
643+
648644``` {r saverdata, message=FALSE, warning=FALSE}
649645# Enable for troubleshooting -- takes some time to generate
650646# save.image(file=paste0(params$path_prefix, '.Rdata'))
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