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library(panstarrs)
library(dplyr)
#>
#> Attaching package: 'dplyr'
#> The following objects are masked from 'package:stats':
#>
#> filter, lag
#> The following objects are masked from 'package:base':
#>
#> intersect, setdiff, setequal, union
library(data.table)
#>
#> Attaching package: 'data.table'
#> The following objects are masked from 'package:dplyr':
#>
#> between, first, lastdf_cone <- ps1_cone(
coords$ra,
coords$decl,
r_arcmin = 0.01,
table = 'mean',
release = 'dr2'
)
# tidyverse approach
df_cone |>
dplyr::select(dplyr::matches('[grizy]MeanPSFMag$'))
#> gMeanPSFMag rMeanPSFMag iMeanPSFMag zMeanPSFMag yMeanPSFMag
#> <num> <num> <num> <num> <num>
#> 1: NA NA NA NA NA
# or if you prefer data.table approach
df_cone[, .SD, .SDcols = grepl('[grizy]MeanPSFMag$', names(df_cone))]
#> gMeanPSFMag rMeanPSFMag iMeanPSFMag zMeanPSFMag yMeanPSFMag
#> <num> <num> <num> <num> <num>
#> 1: NA NA NA NA NAThese binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.