2015-09-23 new paper

Accepted Paper in Journal of Applied Statistics

"How to improve a team's position in the FIFA ranking – A simulation study" by Lasek J., Szlavik Z., Gagolewski M., and Bhulai S. has been accepted for publication in Journal of Applied Statistics.
Abstract: In this paper, we study the efficacy of the official ranking for international football teams compiled by FIFA, the body governing football competition around the globe. We present strategies for improving a team's position in the ranking. By combining several statistical techniques we derive an objective function in a decision problem of optimal scheduling of future matches. The presented results display how a team's position can be improved. Along the way, we compare the official procedure to the famous Elo rating system. Although it originates from chess, it has been successfully tailored to ranking football teams as well.
2015-09-18 award

Scholarship for Outstanding Young Scientists

I am happy to announce that I have been awarded a scholarship for outstanding young scientists from Ministry of Science and Higher Education, Republic of Poland (36 months). According to the Ministry, scholarships are awarded to scientists below the age of 35, who conduct high-quality research and have impressive scientific achievements. Here is the complete list of laureates (in Polish).
2015-06-22 software

stringi 0.5-2 Now on CRAN

A new release of the stringi package is available on CRAN. As for now, about 850 CRAN packages depend (either directly or recursively) on stringi. And quite recently, the package got listed among the top downloaded R extensions.

Notable changes since v0.4-1:

* [BACKWARD INCOMPATIBILITY] The second argument to `stri_pad_*()` has
been renamed `width`.

* [GENERAL] #69: `stringi` is now bundled with ICU4C 55.1.

* [NEW FUNCTIONS] `stri_extract_*_boundaries()` extract text between text

* [NEW FUNCTION] #46: `stri_trans_char()` is a `stringi`-flavoured
`chartr()` equivalent.

* [NEW FUNCTION] #8: `stri_width()` approximates the *width* of a string
in a more Unicodish fashion than `nchar(..., "width")`

* [NEW FEATURE] #149: `stri_pad()` and `stri_wrap()` now by default bases on
code point widths instead of the number of code points. Moreover, the default
behavior of `stri_wrap()` is now such that it does not get rid
of non-breaking, zero width, etc. spaces

* [NEW FEATURE] #133: `stri_wrap()` silently allows for `width <= 0`
(for compatibility with `strwrap()`).

* [NEW FEATURE] #139: `stri_wrap()` gained a new argument: `whitespace_only`.

* [NEW FUNCTIONS] #137: date-time formatting/parsing:
* `stri_timezone_list()` - lists all known time zone identifiers
* `stri_timezone_set()`, `stri_timezone_get()` - manage current default time zone
* `stri_timezone_info()` - basic information on a given time zone
* `stri_datetime_symbols()` - localizable date-time formatting data
* `stri_datetime_fstr()` - convert a `strptime`-like format string
to an ICU date/time format string
* `stri_datetime_format()` - convert date/time to string
* `stri_datetime_parse()` - convert string to date/time object
* `stri_datetime_create()` - construct date-time objects
from numeric representations
* `stri_datetime_now()` - return current date-time
* `stri_datetime_fields()` - get values for date-time fields
* `stri_datetime_add()` - add specific number of date-time units
to a date-time object

* [GENERAL] #144: Performance improvements in handling ASCII strings
(these affect `stri_sub()`, `stri_locate()` and other string index-based

* [GENERAL] #143: Searching for short fixed patterns (`stri_*_fixed()`) now
relies on the current `libC`'s implementation of `strchr()` and `strstr()`.
This is very fast e.g. on `glibc` utilizing the `SSE2/3/4` instruction set.

* [BUILD TIME] #141: a local copy of `icudt*.zip` may be used on package
install; see the `INSTALL` file for more information.

* [BUILD TIME] #165: the `./configure` option `--disable-icu-bundle`
forces the use of system ICU when building the package.

* [BUGFIX] locale specifiers are now normalized in a more intelligent way:
e.g. `@calendar=gregorian` expands to `DEFAULT_LOCALE@calendar=gregorian`.

* [BUGFIX] #134: `stri_extract_all_words()` did not accept `simplify=NA`.

* [BUGFIX] #132: incorrect behavior in `stri_locate_regex()` for matches
of zero lengths

* [BUGFIX] stringr/#73: `stri_wrap()` returned `CHARSXP` instead of `STRSXP`
on empty string input with `simplify=FALSE` argument.

* [BUGFIX] #164: `libicu-dev` usage used to fail on Ubuntu
(`LIBS` shall be passed after `LDFLAGS` and the list of `.o` files).

* [BUGFIX] #168: Build now fails if `icudt` is not available.

* [BUGFIX] #135: C++11 is now used by default (see the `INSTALL` file,
however) to build `stringi` from sources. This is because ICU4C uses the
`long long` type which is not part of the C++98 standard.

* [BUGFIX] #154: Dates and other objects with a custom class attribute
were not coerced to the character type correctly.

* [BUGFIX] Force ICU `u_init()` call on `stringi` dynlib load.

* [BUGFIX] #157: many overfull hboxes in the package PDF manual has been
2015-04-30 software

stringr Now Powered by stringi

I'm happy to announce that starting from the 1.0.0 release, the stringr package for R is now powered by stringi. For more details, read more here.
2015-04-17 new paper

AGOP 2015: Two Papers Accepted

Two papers which I author or co-author got accepted for the AGOP 2015 workshop in Katowice, Poland.
  • Cena A., Gagolewski M., Aggregation and soft clustering of informetric data
  • Gagolewski M., Some issues in aggregation of multidimensional data

Postdoctoral Research Visit @ IRAFM in Ostrava

Today I start a 2-month reasearch visit at the Institute for Research and Applications of Fuzzy Modeling, University of Ostrava, Czech Republic. My stay is supported by the European Union European Social Fund, Project UDA-POKL.04.01.01-00-051/10-00 Information technologies: Research and their interdisciplinary applications.
2015-03-25 new paper

IFSA-EUSFLAT 2015: 4 Papers Accepted

Four papers which I author or coauthor got accepted for the IFSA-EUSFLAT 2015 conference in Gijon, Spain.

  • Cena A., Gagolewski M., A K-means-like algorithm for informetric data clustering
  • Bartoszuk M., Gagolewski M., Detecting similarity of R functions via a fusion of multiple heuristic methods
  • Gagolewski M., Lasek J., Learning experts' preferences from informetric data
  • Gagolewski M., Normalized WDpWAM and WDpOWA spread measures
2015-02-06 new paper

Accepted Paper in Journal of Informetrics

Cena A., Gagolewski M., Mesiar R., Problems and challenges of information resources producers' clustering, Journal of Informetrics, 2015, doi:10.1016/j.joi.2015.02.005; has been accepted for publication.

Abstract: Classically, unsupervised machine learning techniques are applied on data sets with fixed number of attributes (variables). However, many problems encountered in the field of informetrics face us with the need to extend these kinds of methods in a way such that they may be computed over a set of nonincreasingly ordered vectors of unequal lengths. Thus, in this paper, some new dissimilarity measures (metrics) are introduced and studied. Owing to that we may use i.a. hierarchical clustering algorithms in order to determine an input data set's partition consisting of sets of producers that are homogeneous not only with respect to the quality of information resources, but also their quantity.