. . "2"^^ . . . "1"^^ . . "C\u00EDlem metodiky je umo\u017Enit z\u00E1jemc\u016Fm o statistickou anal\u00FDzu neline\u00E1rn\u00EDch regresn\u00EDch vztah\u016F snadno a bez p\u0159edchoz\u00EDch zku\u0161enost\u00ED zvl\u00E1dnout z\u00E1klady pr\u00E1ce s programem R respektive knihovnou nlme, kter\u00E1 umo\u017E\u0148uje deskriptivn\u00ED a statistick\u00E9 v\u00FDpo\u010Dty neline\u00E1rn\u00EDch regresn\u00EDch model\u016F se sm\u00ED\u0161en\u00FDmi efekty - model\u016F, zalo\u017Een\u00FDch na parametrick\u00FDch rovnic\u00EDch. Metodika je ur\u010Dena pro v\u0161echny v\u00FDzkumn\u00EDky, pedagogy a pracovn\u00EDky, kte\u0159\u00ED se setk\u00E1vaj\u00ED s pot\u0159ebou popsat, statisticky vyhodnotit a prezentovat neline\u00E1rn\u00ED z\u00E1vislosti s ohledem na pevn\u00E9 a n\u00E1hodn\u00E9 vlivy. Precizn\u00ED testov\u00E1n\u00ED hypot\u00E9z pomoc\u00ED sm\u00ED\u0161en\u00FDch model\u016F najde u\u017Eit\u00ED ve v\u0161ech oborech zem\u011Bd\u011Blstv\u00ED, veterin\u00E1rn\u00ED medic\u00EDny, potravin\u00E1\u0159stv\u00ED aj. oborech." . "R software; statistics; nonlinear models; mixed effects"@en . "P(2B08037), Z(MSM2678846201)" . "6870/2011-\u010CPI" . . "\u010Cesk\u00E1 plemen\u00E1\u0159sk\u00E1 inspekce, Praha" . "223681" . . "Handbook for the first use of R software for statistical evaluation of non-linearity by regression models with mixed effects"@en . . "P\u0159\u00EDru\u010Dka pro prvn\u00ED pou\u017Eit\u00ED programu R p\u0159i statistick\u00E9m hodnocen\u00ED neline\u00E1rn\u00EDch z\u00E1vislost\u00ED regresn\u00EDmi modely se m\u00ED\u0161en\u00FDmi efekty" . . "Dufek, Ale\u0161" . "7/11" . . "[A079015AA739]" . "Handbook for the first use of R software for statistical evaluation of non-linearity by regression models with mixed effects"@en . . "2011-12-27+01:00"^^ . . "RIV/49608851:_____/11:#0000459!RIV12-MSM-49608851" . "P\u0159\u00EDru\u010Dka pro prvn\u00ED pou\u017Eit\u00ED programu R p\u0159i statistick\u00E9m hodnocen\u00ED neline\u00E1rn\u00EDch z\u00E1vislost\u00ED regresn\u00EDmi modely se m\u00ED\u0161en\u00FDmi efekty" . "Services PCM, s.r.o. Ur\u010Deno pro v\u00FDzkumn\u00EDky, pedagogy a pracovn\u00EDky setk\u00E1vaj\u00EDc\u00ED s pot\u0159ebou popisovat, statisticky vyhodnocovat a prezentovat neline\u00E1rn\u00ED z\u00E1vislosti s ohledem na pevn\u00E9 a n\u00E1hodn\u00E9 vlivy." . "Ekonomick\u00FD p\u0159\u00EDnos pro u\u017Eivatele p\u0159i zaveden\u00ED postupu dle certifikovan\u00E9 metodiky se pohybuje v rozmez\u00ED 13-25 tis. K\u010D." . "Hanu\u0161, Oto" . "C\u00EDlem metodiky je umo\u017Enit z\u00E1jemc\u016Fm o statistickou anal\u00FDzu neline\u00E1rn\u00EDch regresn\u00EDch vztah\u016F snadno a bez p\u0159edchoz\u00EDch zku\u0161enost\u00ED zvl\u00E1dnout z\u00E1klady pr\u00E1ce s programem R respektive knihovnou nlme, kter\u00E1 umo\u017E\u0148uje deskriptivn\u00ED a statistick\u00E9 v\u00FDpo\u010Dty neline\u00E1rn\u00EDch regresn\u00EDch model\u016F se sm\u00ED\u0161en\u00FDmi efekty - model\u016F, zalo\u017Een\u00FDch na parametrick\u00FDch rovnic\u00EDch. Metodika je ur\u010Dena pro v\u0161echny v\u00FDzkumn\u00EDky, pedagogy a pracovn\u00EDky, kte\u0159\u00ED se setk\u00E1vaj\u00ED s pot\u0159ebou popsat, statisticky vyhodnotit a prezentovat neline\u00E1rn\u00ED z\u00E1vislosti s ohledem na pevn\u00E9 a n\u00E1hodn\u00E9 vlivy. Precizn\u00ED testov\u00E1n\u00ED hypot\u00E9z pomoc\u00ED sm\u00ED\u0161en\u00FDch model\u016F najde u\u017Eit\u00ED ve v\u0161ech oborech zem\u011Bd\u011Blstv\u00ED, veterin\u00E1rn\u00ED medic\u00EDny, potravin\u00E1\u0159stv\u00ED aj. oborech."@cs . "P\u0159\u00EDru\u010Dka pro prvn\u00ED pou\u017Eit\u00ED programu R p\u0159i statistick\u00E9m hodnocen\u00ED neline\u00E1rn\u00EDch z\u00E1vislost\u00ED regresn\u00EDmi modely se m\u00ED\u0161en\u00FDmi efekty"@cs . . "RIV/49608851:_____/11:#0000459" . . . . . "P\u0159\u00EDru\u010Dka pro prvn\u00ED pou\u017Eit\u00ED programu R p\u0159i statistick\u00E9m hodnocen\u00ED neline\u00E1rn\u00EDch z\u00E1vislost\u00ED regresn\u00EDmi modely se m\u00ED\u0161en\u00FDmi efekty"@cs . . . "The aim of the methodology is to enable those interested in statistical analysis of nonlinear regression relationships easily and without any prior experience to master the basics of working with the R software or the R library nlme, which provides descriptive and statistical calculations of nonlinear regression models with mixed effects - models based on parametric equations. The methodology is intended for all researchers, educators and professionals who are faced with the need to describe, evaluate and present non-linear dependence with respect to the fixed and random effects. Precise testing of hypotheses using mixed models finds applications in all fields of agriculture, veterinary medicine, food and other fields."@en .