hugomflavio
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DESCRIPTION
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@@ -419,10 +419,18 @@
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| 419 | 419 | output <- moves[grepl(array.string, moves$Array), ] |
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| 420 | 420 | ||
| 421 | 421 | if (nrow(output) > 0) { |
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| 422 | - | first.time <<- c(first.time, output$First.time[1]) |
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| 422 | + | output$First.time <- as.POSIXct(round.POSIXt(output$First.time, units = timestep)) |
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| 423 | + | output$Last.time <- as.POSIXct(round.POSIXt(output$Last.time, units = timestep)) |
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| 424 | + | ||
| 425 | + | # If the period starts in daylight saving time: Standardize so the break points are in "normal" time |
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| 426 | + | if (as.POSIXlt(output$First.time[1])$isdst == 1) |
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| 427 | + | output$First.time <- output$First.time + 3600 |
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| 428 | + | ||
| 429 | + | if (as.POSIXlt(output$Last.time[1])$isdst == 1) |
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| 430 | + | output$Last.time <- output$Last.time + 3600 |
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| 431 | + | ||
| 423 | 432 | last.time <<- c(last.time, output$Last.time[nrow(output)]) |
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| 424 | - | output$First.time <- round.POSIXt(output$First.time, units = timestep) |
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| 425 | - | output$Last.time <- round.POSIXt(output$Last.time, units = timestep) |
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| 433 | + | first.time <<- c(first.time, output$First.time[1]) |
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| 426 | 434 | return(output) |
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| 427 | 435 | } else { |
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| 428 | 436 | return(NULL) |
@@ -435,11 +443,11 @@
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| 435 | 443 | attributes(last.time)$tzone <- input$rsp.info$tz |
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| 436 | 444 | ||
| 437 | 445 | if (cumulative) |
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| 438 | - | last.time <- round.POSIXt(max(first.time), units = timestep) |
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| 446 | + | last.time <- max(first.time) |
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| 439 | 447 | else |
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| 440 | - | last.time <- round.POSIXt(max(last.time), units = timestep) |
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| 448 | + | last.time <- max(last.time) |
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| 441 | 449 | ||
| 442 | - | first.time <- round.POSIXt(min(first.time), units = timestep) |
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| 450 | + | first.time <- min(first.time) |
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| 443 | 451 | ||
| 444 | 452 | if (timestep == "days") |
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| 445 | 453 | seconds <- 3600 * 24 |
@@ -459,7 +467,9 @@
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| 459 | 467 | link <- match(names(plot.list), input$status.df$Transmitter) |
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| 460 | 468 | group.names <- input$status.df$Group[link] |
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| 461 | 469 | ||
| 462 | - | plotdata <- lapply(unique(group.names), function (the.group) { |
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| 470 | + | plotdata <- lapply(unique(group.names), function(the.group) { |
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| 471 | + | # cat("Group: ", as.character(the.group), "\n") |
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| 472 | + | ||
| 463 | 473 | trimmed.list <- plot.list[group.names == the.group] |
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| 464 | 474 | aux <- data.frame(x = timerange) |
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| 465 | 475 | aux[, as.character(the.group)] <- 0 |
@@ -467,6 +477,7 @@
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| 467 | 477 | # counter <- 1 |
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| 468 | 478 | capture <- lapply(trimmed.list, function(x) { |
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| 469 | 479 | # cat(counter, "\n"); counter <<- counter + 1 |
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| 480 | + | ||
| 470 | 481 | to.add <- rep(0, nrow(aux)) |
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| 471 | 482 | if (cumulative) { |
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| 472 | 483 | if (ladder.type == "arrival") |
| Files | Coverage |
|---|---|
| R | 90.85% |
| Project Totals (15 files) | 90.85% |
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926171244
Sunburst
The inner-most circle is the entire project, moving away from the center are folders then, finally, a single file.
The size and color of each slice is representing the number of statements and the coverage, respectively.
Icicle
The top section represents the entire project. Proceeding with folders and finally individual files.
The size and color of each slice is representing the number of statements and the coverage, respectively.
