On Fri, 26 Mar 2021 13:41:00 +1300
Abby Spurdle wrote:
> I haven't checked this, but I guess that the number of students that
> *pass* a particular exam/subject, per semester would be like that.
>
> e.g.
> Let's say you have a course in maximum likelihood, that's taught once
> per year to 3rd
I haven't checked this, but I guess that the number of students that
*pass* a particular exam/subject, per semester would be like that.
e.g.
Let's say you have a course in maximum likelihood, that's taught once
per year to 3rd year students, and a few postgrads.
You could count the number of passe
apply() is also a (disguised) loop, though.
I think you will find that indexing via rowSums is a lot faster:
## The example
set.seed(111) ## for reproducibility
a<-matrix(sample(1:20,350,TRUE),ncol=10) ## 35 rows
## A one-liner
a[rowSums(a != 1) == 10, ] ## 20 rows
Bert Gunter
"The trouble w
Okay, if I understand this, you want to remove all rows that have, for
example, a 1 in any of ten columns:
a<-matrix(sample(1:20,350,TRUE),ncol=10)
# check it out
a
# first do it with a loop
b<-a
for(i in 1:ncol(b)) b<-b[b[,i]!=1,]
b
# now get tricky and do it in one operation
no1s<-apply(a,1,func
This is a very unclear question. Weeks don't line up with months.. so you need
to clarify how you would do this or at least give an explicit example of input
data and result data.
On March 25, 2021 11:34:15 AM PDT, Dr Eberhard W Lisse wrote:
>Thanks, that is helpful.
>
>But, how do I group it t
Thanks, that is helpful.
But, how do I group it to produce hours worked per week per month?
el
On 2021-03-25 19:03 , Greg Snow wrote:
Here is one approach:
tmp <- data.frame(min=seq(0,150, by=15))
tmp %>%
mutate(hm=sprintf("%2d Hour%s %2d Minutes",
min %/% 60, ifelse
Here is one approach:
tmp <- data.frame(min=seq(0,150, by=15))
tmp %>%
mutate(hm=sprintf("%2d Hour%s %2d Minutes",
min %/% 60, ifelse((min %/% 60) == 1, " ", "s"),
min %% 60))
You could replace `sprintf` with `str_glue` (and update the syntax as
well) if
Thank you, Messrs Barradas and Gross, for your very helpful advice.
Philip
Message: 21
Date: Wed, 24 Mar 2021 22:41:25 -0400
From: "Avi Gross"
To:
Subject: Re: [R] Including a ggplot call with a conditional geom in a
function
Message-ID: <07e801d72120$59e5c720$0db15560$@verizon.net>
8 matches
Mail list logo