Hi Phillip,
You have two choices here: 1. Manually enter the missing rows into
your individual.df using rbind(), and cbind() the overall.df and
individual.df dataframes together (assuming the rows line up
properly), or 2. Use merge() to perform an SQL-like "Left Join", and
copy values from the
Thank you all. Your suggestions worked. As you said, the problem appeared to
have been the commas that were part of the data frame.
Thanks again
From: Rui Barradas
Sent: Tuesday, April 21, 2020 9:38 PM
To: Helen Sawaya
Cc: Jim Lemon ; Michael Dewey ;
Hi Helen,
>From you last post, I think the best strategy is to make sure that the
operations you are performing are giving you the results you want. If so,
then we can tackle the multiple input files. As I don't have the library
you are using, I cannot access the function "get_tbls", so please
I have two small data frames of baseball data. The first one is the mean
number of runs that will score in each half inning for the 2018 Arizona
Diamondbacks. The second data frame is the same information but for only
one player. As you will see the individual player did not come up to bat
Hello,
Much better, you have "," at the end of your data elements so nothing is
working.
The following 3 instructions
1. remove those commas,
2. create a logical vector trying to guess which columns are numeric
3. coerce those columns to numeric.
d[] <- lapply(d, function(x){sub(",$", "",
Read the files with read.csv(filename) or read.table(sep=",", filename) so
the commas don't become part of the R data.frame.
Bill Dunlap
TIBCO Software
wdunlap tibco.com
On Tue, Apr 21, 2020 at 10:17 AM Helen Sawaya
wrote:
> Thank you for your patience.
>
> This is the output of dput(head(d,
The "contamination" of other code by GPL is not absolute... it _is_ possible to
use GPL code without releasing your code similarly, and blithely suggesting
otherwise perpetuates myths about GPL.
That said, it is very tricky to do so while presenting a clean user experience,
and doing so is
Thank you for your patience.
This is the output of dput(head(d, 10))
structure(list(V1 = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L), .Label = "9.9761E+11,", class = "factor"), V2 = structure(c(1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L), .Label = "threat,", class = "factor"),
V3 =
Hello,
As for convex hulls, there is an example of how to construct a stat_hull in
vignette("extending-ggplot2", package = "ggplot2")
There is also a geom_hull in a GitHub package:
devtools::install_github("cmartin/ggConvexHull")
Hope this helps,
Rui Barradas
Às 17:02 de 21/04/20, Ivan
If you comply with the relevant licenses... sure... open source can be
compatible with commercial activity. But your description of your use case is
way too deficient for anyone to even comment on. Since this is not a legal
advice forum, go ask your question of a lawyer familiar with open
On 21/04/2020 11:11 a.m., dmitry sergey wrote:
Hi,
I kindly interesting can i use R for commercial projects for free? I am
going to get statistics in my commercial project with R and wanted to know
will it be legal or no?
If you are distributing R as part of your project, then you will need
Dear useRs,
I would like to have horizontal and vertical error bars extending from
the means on two continuous variables.
This would be the "manual" way of doing it, computing the mean and sd
(or whatever stats) beforehand and then calling geom_errorbar() and
geom_errorbarh() with appropriate
Hi,
I kindly interesting can i use R for commercial projects for free? I am
going to get statistics in my commercial project with R and wanted to know
will it be legal or no?
Thanks in advance.
Best Regards,
Dmitry
[[alternative HTML version deleted]]
Read about the all.x and all.y arguments to ?merge.
On April 21, 2020 7:53:33 AM PDT, Ana Marija
wrote:
>Hello,
>
>> head(a)
> ID_1 pheno
>1 0 B
>2 fam1000_G1000 0
>3 fam1001_G1001 0
>4 fam1003_G1003 1
>5 fam1005_G1005 0
>6 fam1009_G1009 0
>>
this solved it:
m=merge(a,b,by="ID_1",all.y = T)
On Tue, Apr 21, 2020 at 9:53 AM Ana Marija wrote:
>
> Hello,
>
> > head(a)
>ID_1 pheno
> 1 0 B
> 2 fam1000_G1000 0
> 3 fam1001_G1001 0
> 4 fam1003_G1003 1
> 5 fam1005_G1005 0
> 6 fam1009_G1009 0
>
Hello,
> head(a)
ID_1 pheno
1 0 B
2 fam1000_G1000 0
3 fam1001_G1001 0
4 fam1003_G1003 1
5 fam1005_G1005 0
6 fam1009_G1009 0
> head(b)
ID_1 ID_2 missing
1 0 0 0
2 fam1000_G1000 fam1000_G1000 0
3
Dear dr Medic,
Den 2020-04-17 kl. 23:03, skrev Medic:
On 2020-04-17 20:06, Medic wrote:
I can't understand how to do a survival analysis (?Surv ()) when some
event occurred before the start of observation (left censored). If I
understand correctly, there are two methods. I chose a method with:
On Sun, 19 Apr 2020 at 22:34, Julio Farach wrote:
> But, I'm seeking the last 10 draws shown on the "Winning Numbers," or
> 4th tab.
The "Network" tab in browser developer tools (usually accessible by
pressing F12) demonstrates that the "Winning Numbers" are fetched in
JSON format by means of
Hi Julio,
I am just working on my first cup of tea of the morning so I am not
functioning all that well but I finally noticed that we have dropped the
R-help list. I have put it back as a recipient as there are a lot of
people that know about 99%+ more than I do about the topic.
I'll keep
Hi Bhaskar,
Why not just create a function that does the repetitive work, such as
doOne <- function( suffix ) {
base_url <- "abcd" # This remains constant
b <- "api_key"# the api key - this remains constant
c <- paste("series_id=",suffix,sep="")
full_url =
Hello Everyone,
I am trying to download data from multiple websites using API key.
The code to download from one URL is given below.
I have a list of multiple URLs' where the suffix URL 'c' keeps changing.
I would appreciate any help on how i can modify the code below that will
allow
me to
Hello,
Thanks for the data. But since the replacements still do not work,
please post the output of
dput(head(d, 10))
in order for us to have an *exact* copy of the data structure.
I had asked for 20 or 30 rows but given your post 10 are enough.
With a way to exactly reproduce what you
22 matches
Mail list logo
