This function allows easy selection of the column names of an object using a set of inclusion and exclusion critera.

1 |

`object` |
Matrix or dataframe |

`with, without` |
Vector of regular expression patterns |

`method` |
One of "and" or "or" |

`...` |
Optional arguments to |

Vector of column names which match all (`method="and"`

) or any
(`method="or"`

) of the patterns specified in `with`

, but
none of the patterns specified in `without`

.

Gregory R. Warnes greg@warnes.net

`grep`

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 | ```
# create a matrix with a lot of named columns
x <- matrix( ncol=30, nrow=5 )
colnames(x) <- c("AffyID","Overall Group Means: Control",
"Overall Group Means: Moderate",
"Overall Group Means: Marked",
"Overall Group Means: Severe",
"Overall Group StdDev: Control",
"Overall Group StdDev: Moderate",
"Overall Group StdDev: Marked",
"Overall Group StdDev: Severe",
"Overall Group CV: Control",
"Overall Group CV: Moderate",
"Overall Group CV: Marked",
"Overall Group CV: Severe",
"Overall Model P-value",
"Overall Model: (Intercept): Estimate",
"Overall Model: Moderate: Estimate",
"Overall Model: Marked: Estimate",
"Overall Model: Severe: Estimate",
"Overall Model: (Intercept): Std. Error",
"Overall Model: Moderate: Std. Error",
"Overall Model: Marked: Std. Error",
"Overall Model: Severe: Std. Error",
"Overall Model: (Intercept): t value",
"Overall Model: Moderate: t value",
"Overall Model: Marked: t value",
"Overall Model: Severe: t value",
"Overall Model: (Intercept): Pr(>|t|)",
"Overall Model: Moderate: Pr(>|t|)",
"Overall Model: Marked: Pr(>|t|)",
"Overall Model: Severe: Pr(>|t|)")
# Get the columns which give estimates or p-values
# only for marked and severe groups
matchcols(x, with=c("Pr", "Std. Error"),
without=c("Intercept","Moderate"),
method="or"
)
# Get just the column which give the p-value for the intercept
matchcols(x, with=c("Intercept", "Pr") )
``` |

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