NMSA407 – Central exercise classes webpage
Timetable
Lectures: | Thursday 9:00 in K1, Thursday 17:20 in K1 (A. Komárek) |
Exercise class (MM1): | Monday 19:00 in K11
(M. Maciak) |
Exercise class (MM2): | Tuesday 7:20 in K11
(M. Maciak) |
Exercise class (MO): | Thursday 15:40 in K4
(M. Omelka) |
R software
Those who are not familiar with the
R software are adviced
that they already before the first exercise class go through
R-related materials available on the webpage of the
NMSA230: Software for Mathematics and Stochastics course (in Czech language). In English plenty of introductory materials can be obtained
here or by simple web-searching.
mffSM package
Most datasets we will be working on during the exercise classes plus few smaller R functions
are available in a form of extension R package
mffSM which can be installed ``from a local repository''
upon its download from the appropriate link below. Windows binary file is intended for the MS Windows users
(as the title suggests), the source code is intended for those users who are used to compile their software
from the source (mostly Linux, Mac etc. users). The
mffSM package depends on packages
colorspace,
lattice,
car,
which are available in a standard way from
CRAN. All those dependency packages
should normally be automatically installed if the installation of the
mffSM package is performed
directly from the R console on an Internet-connected computer using the command (its appropriately modified analogy):
install.packages("C:/WHERE_DOWNLOADED/mffSM_1.0.zip", repos = NULL)
The
mffSM package might be updated during the semester. If this happens, the version number
(like 1.0) will be increased and new files will be available.
Announcements
-
Requirements to get the course credit are explained in detail in this
document (pdf).
-
Summary table of points obtained for delivered homeworks and a test.
-
The secondary test will be on January, 7 at 8:00 in K1.
-
To prepare for the final test
we recommend to be able to answer the questions asked during the exercises classes and
in the homework assignments. Some more sample tasks that can appear in the final test can be downloaded here.
R scripts for exercise classes
Class #1 (06/10) |
Assignment (R script) |
(published 20150928) |
Class #2 (12/10, 13/10, 15/10) |
Assignment (R script) |
(published 20151009) |
|
Data (csv) |
|
Class #3 (19/10, 20/10, 22/10) |
Assignment (R script) |
(published 20151016) |
Class #4 (26/10, 27/10, 29/10) |
Assignment (R script) |
(published 20151023) |
Class #5 (2/11, 3/11, 5/11) |
Assignment (R script) |
(published 20151030) |
Class #6 (16/11, 10/11, 12/11) |
Assignment (R script) |
(published 20151106) |
Class #7 (23/11, 24/11, 19/11) |
Assignment (R script) |
(published 20151114) |
|
Data (csv) |
4 slides about multiplicative models |
Class #8 (30/11, 1/12, 26/11) |
Assignment (R script) |
(published 20151124) |
Class #9 (7/12, 8/12, 3/12) |
Assignment (R script) |
(published 20151129) |
Class #10 (14/12, 15/12, 10/12) |
Assignment (R script) |
(published 20151207) |
Class #11 (21/12, 22/12, 17/12) |
Assignment (R script) |
(published 20151214) |
|
Boston2 (csv) |
|
Class #12 (4/1, 5/1, 7/1) |
Assignment (R script) |
(published 20151221) |
|
Data (RData) |
Precalculated results (RData) |
Class #13 (11/1, 12/1, 14/1) |
Assignment (R script) |
(preliminary version published 20160109) |
|
data (csv) |
soilData (dataset) |
In the code it is assumed that datasets are stored in the directory called 'Data' which
is subdirectory of the working directory.
Homework assignments
-
Homework 1 (Deadlines Mo: 19/10, Tu: 20/10, Th: 22/10) -
Assignment (pdf),
River quality (dataset),
(published 20151005).
-
Homework 2 (Deadlines Mo: 30/11, Tu: 01/12, Th: 26/11) -
Assignment (pdf),
horsesData (dataset),
(published 20151106).
-
Homework 3 (Deadlines Mo: 28/12, Tu: 28/12, Th: 28/12) -
Assignment (pdf),
soilData (dataset),
(published 20151204).
Supporting material