Displaying 6 results from an estimated 6 matches for "j2000".
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2000
2017 Oct 05
3
dealing with a messy dataset
...----------------------------------
Bytes Format Units Label Explanations
--------------------------------------------------------------------------------
1- 18 A18 --- Name Galaxy name in well-known catalogs
20- 21 I2 h RAh Hour of Right Ascension (J2000)
22- 23 I2 min RAm Minute of Right Ascension (J2000)
24- 27 F4.1 s RAs Second of Right Ascension (J2000)
28 A1 --- DE- Sign of the Declination (J2000)
29- 30 I2 deg DEd Degree of Declination (J2000)
31- 32 I2 arc...
2017 Oct 05
0
dealing with a messy dataset
...-----------------
> Bytes Format Units Label Explanations
> --------------------------------------------------------------------------------
> 1- 18 A18 --- Name Galaxy name in well-known catalogs
> 20- 21 I2 h RAh Hour of Right Ascension (J2000)
> 22- 23 I2 min RAm Minute of Right Ascension (J2000)
> 24- 27 F4.1 s RAs Second of Right Ascension (J2000)
> 28 A1 --- DE- Sign of the Declination (J2000)
> 29- 30 I2 deg DEd Degree of Declination (J2000)
>...
2017 Oct 05
1
dealing with a messy dataset
...gt;> Bytes Format Units Label Explanations
>> --------------------------------------------------------------------------------
>> 1- 18 A18 --- Name Galaxy name in well-known catalogs
>> 20- 21 I2 h RAh Hour of Right Ascension (J2000)
>> 22- 23 I2 min RAm Minute of Right Ascension (J2000)
>> 24- 27 F4.1 s RAs Second of Right Ascension (J2000)
>> 28 A1 --- DE- Sign of the Declination (J2000)
>> 29- 30 I2 deg DEd Degree of Decl...
2017 Oct 05
0
dealing with a messy dataset
It looks like fixed width. I just used the last position of each
field to get the size and used the 'readr' package;
> input <- "And XVIII 000214.5+450520 0.69 17 9 0.00
-8.7 26.8 6.44 6.78 < 6.65 -44 0.5 MESSIER031 0.6
1.54
+ PAndAS-03 000356.4+405319 0.10 17 0.00 -3.6 27.8
4.38 2.8 MESSIER031
2011 May 04
2
first occurrence of a value?
...df below? I want to use this position to
programmatically create the variable 'year'. I'v come up with a solution, but I
find it downright ugly. Is there a simpler way? I was hoping for a useful
built-in function that I don;t yet know about.
df <- data.frame(j1999=c(0,0,0,0,1,0), j2000=c(NA, 1, 1, 1, 0, 0), j2001=c(1, 0,
1, 0, 0, 0), year=c(2001, 2000, 2000, 2000, 1999, NA))
library(gsubfn)
x <- apply(df==1, 1, which)
giveYear <- function(df) { return( as.numeric(gsubfn("^[^0-9]+", "",
names(df)[1])) ) }
df$year2 <- sapply(x, giveYear)
Thanks in ad...
2017 Oct 05
4
dealing with a messy dataset
dear R-users,
I am facing a quite regular and basic problem when it comes to dealing
with datasets, but I cannot find any satisfying answer so far.
I have a messy dataset of galaxies like that :
And XVIII 000214.5+450520 0.69 17 9 0.00 -8.7 26.8 6.44
6.78 < 6.65 -44 0.5 MESSIER031 0.6 1.54
PAndAS-03 000356.4+405319 0.10 17 0.00 -3.6 27.8
4.38