| ... | ... |
@@ -16,8 +16,6 @@ |
| 16 | 16 |
#' @examples |
| 17 | 17 |
#' # Using example data from our package |
| 18 | 18 |
#' metrics = loadSample("ont-metrics")
|
| 19 |
-#' cor = correlations(data=metrics, getImages = TRUE) |
|
| 20 |
-#' # Changing figure margings |
|
| 21 | 19 |
#' cor = correlations(data=metrics, getImages = TRUE, margins = c(1,0,5,11)) |
| 22 | 20 |
#' |
| 23 | 21 |
correlations <- function(data, margins=c(0,10,9,11), getImages=TRUE, |
| ... | ... |
@@ -29,8 +29,6 @@ |
| 29 | 29 |
#' @examples |
| 30 | 30 |
#' # Using example data from our package |
| 31 | 31 |
#' metrics = loadSample("ont-metrics")
|
| 32 |
-#' result = quality(data=metrics, k=5) |
|
| 33 |
-#' result = quality(metrics, k=6, getImages=FALSE) |
|
| 34 | 32 |
#' result = quality(metrics, k=4, label="Experiment 1:") |
| 35 | 33 |
#' |
| 36 | 34 |
#' @references |
| ... | ... |
@@ -102,10 +100,8 @@ quality <- function(data, k=5, getImages=TRUE, |
| 102 | 100 |
#' @examples |
| 103 | 101 |
#' # Using example data from our package |
| 104 | 102 |
#' metrics = loadSample("ont-metrics")
|
| 105 |
-#' dataFrameList = qualityRange(data=metrics, k.range=c(3,5)) |
|
| 106 | 103 |
#' # Without plotting |
| 107 | 104 |
#' dataFrameList = qualityRange(data=metrics, k.range=c(2,6), getImages = FALSE) |
| 108 |
-#' dataFrameList = qualityRange(data=metrics, k.range=c(2,6), label="Experiment 1:") |
|
| 109 | 105 |
#' |
| 110 | 106 |
#' @references |
| 111 | 107 |
#' \insertRef{kaufman2009finding}{evaluomeR}
|
| ... | ... |
@@ -34,8 +34,6 @@ |
| 34 | 34 |
#' @examples |
| 35 | 35 |
#' # Using example data from our package |
| 36 | 36 |
#' metrics <- loadSample("ont-metrics")
|
| 37 |
-#' result <- stability(data=metrics, k=4, getImages=TRUE) |
|
| 38 |
-#' result <- stability(metrics, k=6, getImages=FALSE) |
|
| 39 | 37 |
#' result <- stability(metrics, k=6, getImages=TRUE, label="Experiment 1:") |
| 40 | 38 |
#' |
| 41 | 39 |
#' @references |
| ... | ... |
@@ -37,8 +37,6 @@ and 1 (direct). |
| 37 | 37 |
\examples{
|
| 38 | 38 |
# Using example data from our package |
| 39 | 39 |
metrics = loadSample("ont-metrics")
|
| 40 |
-cor = correlations(data=metrics, getImages = TRUE) |
|
| 41 |
-# Changing figure margings |
|
| 42 | 40 |
cor = correlations(data=metrics, getImages = TRUE, margins = c(1,0,5,11)) |
| 43 | 41 |
|
| 44 | 42 |
} |
| ... | ... |
@@ -50,8 +50,6 @@ range [0,1], having the following meaning: |
| 50 | 50 |
\examples{
|
| 51 | 51 |
# Using example data from our package |
| 52 | 52 |
metrics = loadSample("ont-metrics")
|
| 53 |
-result = quality(data=metrics, k=5) |
|
| 54 |
-result = quality(metrics, k=6, getImages=FALSE) |
|
| 55 | 53 |
result = quality(metrics, k=4, label="Experiment 1:") |
| 56 | 54 |
|
| 57 | 55 |
} |
| ... | ... |
@@ -56,10 +56,8 @@ range [0,1], having the following meaning: |
| 56 | 56 |
\examples{
|
| 57 | 57 |
# Using example data from our package |
| 58 | 58 |
metrics = loadSample("ont-metrics")
|
| 59 |
-dataFrameList = qualityRange(data=metrics, k.range=c(3,5)) |
|
| 60 | 59 |
# Without plotting |
| 61 | 60 |
dataFrameList = qualityRange(data=metrics, k.range=c(2,6), getImages = FALSE) |
| 62 |
-dataFrameList = qualityRange(data=metrics, k.range=c(2,6), label="Experiment 1:") |
|
| 63 | 61 |
|
| 64 | 62 |
} |
| 65 | 63 |
\references{
|
| ... | ... |
@@ -47,8 +47,6 @@ having the following meaning: |
| 47 | 47 |
\examples{
|
| 48 | 48 |
# Using example data from our package |
| 49 | 49 |
metrics <- loadSample("ont-metrics")
|
| 50 |
-result <- stability(data=metrics, k=4, getImages=TRUE) |
|
| 51 |
-result <- stability(metrics, k=6, getImages=FALSE) |
|
| 52 | 50 |
result <- stability(metrics, k=6, getImages=TRUE, label="Experiment 1:") |
| 53 | 51 |
|
| 54 | 52 |
} |
