Dear Ivan,
I don't think it is possible to force a number of rows - but I'm
honestly just guessing.
What you can do is to add an empty plot. Here I use cowplot, but
gridExtra should also work well.
I add an indication of the row number for the plot to the initial
data.frame, and loop over
)
}, ranges = ranges, .id = "filename")
```
On 2020-08-27 17:33, Ulrik Stervbo via R-help wrote:
Hi Thomas,
I am not familiar with the use of the range argument, but it seems to
me that the cell value becomes the column name. This might be fine,
but you might get into trouble if you hav
Hi Thomas,
I am not familiar with the use of the range argument, but it seems to me
that the cell value becomes the column name. This might be fine, but you
might get into trouble if you have repeated cell values since
as.data.frame() will fix these.
I am also not sure about what you want,
Hi Prasad,
I think this might be a problem with the package, and you can try to
contact the package author.
The error seem to arise because the pcr() cannot find the
'negative-binomial' distribution
```
library(qualityTools)
x <- rnbinom(500, mu = 4, size = 100)
pcr(x, distribution =
ear Ulrik,
>
>On 2020-07-29 17:14 +0200, Ulrik Stervbo via R-help wrote:
>> library(readr)
>> read_csv(
>
>This thread was about
>sqldf::read.csv.sql ...
>
>What is the purpose of bringing up
>readr::read_csv? I am unfamilliar with
>it, s
You might achieve this using readr:
```
library(readr)
lines <- "Id, Date, Time, Quality, Lat, Long
STM05-1, 2005/02/28, 17:35, Good, -35.562, 177.158
STM05-1, 2005/02/28, 19:44, Good, -35.487, 177.129
STM05-1, 2005/02/28, 23:01, Unknown, -35.399, 177.064
STM05-1, 2005/03/01,
You might achieve this using readr:
```
library(readr)
lines <- "Id, Date, Time, Quality, Lat, Long
STM05-1, 2005/02/28, 17:35, Good, -35.562, 177.158
STM05-1, 2005/02/28, 19:44, Good, -35.487, 177.129
STM05-1, 2005/02/28, 23:01, Unknown, -35.399, 177.064
STM05-1, 2005/03/01,
Hi Pedro,
I see you use dplyr and ggplot2. Are you looking for something like
this:
```
library(ggplot2)
library(dplyr)
test_data <- data.frame(
year = c(rep("2018", 10), rep("2019", 8), rep("2020", 6)),
value = sample(c(1:100), 24)
)
test_data <- test_data %>%
group_by(year) %>%
Then this should work:
```
library(ggplot2)
library(cowplot)
p1 <- ggplot(iris, aes(x = Sepal.Length, y = Sepal.Width)) +
geom_point()
p2 <- ggplot(iris, aes(x = Petal.Length, y = Petal.Width * 1000)) +
geom_point()
plot_grid(p1, p2, ncol = 1, align = "hv", rel_heights = c(2, 1), axis =
Would this work:
```
library(ggplot2)
library(cowplot)
p1 <- ggplot(iris, aes(x = Sepal.Length, y = Sepal.Width)) +
geom_point()
p2 <- ggplot(iris, aes(x = Petal.Length, y = Petal.Width * 1000)) +
geom_point()
plot_grid(p1, p2, ncol = 1, align = "hv", rel_heights = c(2, 1))
```
Best,
Ulrik
Hi Sumitrajit,
dplyr has a function for this - it's called filter.
For each group you can count the number of SNR > 3 (you can use sum on
true/false). You can filter on the results directly or add a column as
you plan. The latter might make your intention more clear.
HTH
Ulrik
On
11 matches
Mail list logo