ụdịỌzụzụ klas
Time3 Days
Deba aha
Okwu Mmalite nke R maka usoro ihe omume nke mmemme na akwụkwọ

Okwu Mmalite nke R maka usoro ihe omume nke mmemme na akwụkwọ

Description

Ndị na-ege ntị na ihe ndị dị mkpa

Ihe ndepụta

Nhazi & Ụgwọ

Asambodo

Okwu Mmalite nke R maka usoro ihe omume

R bụ ederede ederede maka nyocha na nyocha data ndekọ. O sitere n'ike mmụọ nsọ, ọ na-akasị kwekọrọ na ya, ụbụrụ ọnụ ọgụgụ S mepụtara site na AT & T. Aha S, nke doro anya na ọ na-eguzo maka ihe ndekọ, bụ njikọta maka asụsụ mmemme ọzọ e mepụtara na AT & T site na otu aha aha, C S ka e mesịrị nye ya obere ụlọ ọrụ, nke gbakwunyere interface GUI ma kpọọ aha S- Ọzọ. R aghọwo ihe a na-ewu ewu karịa S / S-Plus, ma n'ihi na ọ bụ n'efu na n'ihi na ọtụtụ ndị na-atụnye ya. R na-akpọkarị 'GNU S.

Ebumnuche nke Ọzụzụ Nmepụta R

  • a na-etinye iwu ọha na eze nke asụsụ S statistical si n'ọtụtụ ebe; R / S bụ ụkpụrụ eziokwu nke ndị ọkachamara na-arụ ọrụ
  • tụnyere, na mgbe mgbe ka ọ dị elu, na-enwe ike ịzụ ahịa ahịa n'ọtụtụ uche
  • dị maka Windows, Macs, Linux
  • Na mgbakwunye na arụmọrụ nchịkọta akụkọ, ọ bụ asụsụ mmemme zuru ezu, ka i wee nwee ike ịmepụta nyocha gị ma mepụta ọrụ ọhụrụ
  • nhazi usoro ihe omume na oru
  • A na-echekwa data gị n'etiti sessions, yabụ na ịnweghị iweghachi oge ọ bụla
  • nhazi ngwa ngwa na-egosi na ọ dị mfe ịnweta enyemaka site n'aka onye ọrụ, ọtụtụ ọrụ ọhụrụ na-enyekwa aka site na ndị ọrụ, ọtụtụ n'ime ha bụ ndị nchịkọta ọnụ ọgụgụ a ma ama

Ihe ndi choro n'iru maka ihe ndi ozo

Nanị ihe dị mkpa bụ na ị nwere ahụmahụ mmemme; ịkwesighi ịbụ ọkachamara ọkachamara, ọ bụ ezie na ndị ọkachamara kwesịrị ịchọta ihe kwesịrị ekwesị maka ọkwa ha. Mgbe ụfọdụ, a ga-enwe okwu ụfọdụ maka ndị ọrụ mmemme ọkachamara, kwuo banyere usoro mmemme ma ọ bụ Python, mana okwu ndị a agaghị eme ka a gwọọ gị enweghị ihe ịga nke ọma nye ndị nwere nanị ndabere na mmemme.

Course Outline Duration: 3 Days

  1. Overview
    • Akụkọ banyere R
    • Uru na ọghọm
    • Nbudata ma wụnye
    • Esi achọta akwụkwọ
  2. Okwu Mmalite
    • Iji ígwè ọrụ R
    • Inweta enyemaka
    • Ịmụ banyere gburugburu ebe obibi
    • Ide na ime ihe odide
    • Ịchekwa ọrụ gị
  3. Ịwụnye nchịkọta
    • Ịchọta ihe onwunwe
    • Ịwụnye ihe onwunwe
  4. Ntọala data, Ụdị mgbanwe
    • Ngbanwe na ọrụ
    • Ụdị data
    • Ntinye aha, ntinye
    • Ịlele data na nchịkọta
    • Mgbakọ mgbakọ
    • ihe
  5. Inweta Data n'ime R Environment
    • Data arụpụtara
    • Ịgụ data site na ederede ederede
    • Ịgụ data site na iji ODBC
  6. Ọgba ọsọ
    • Nnwale eziokwu
    • Branching
    • Mbanye
    • Nkọwa ndị nwere ike ime
  7. Ọrụ na Omimi
    • kwa
    • Weghachi ụkpụrụ
    • Akuku mgbanwe
    • Nwekọrịta nkwụsịtụ
  8. Na-edozi oge na R
    • Ụbọchị na oge ọmụmụ oge na R
    • Ịhazi oge maka nhazi
  9. Nkọwapụta nkọwa
    • Data na-aga n'ihu
    • Usoro Categorical
  10. Ndepụta na-enweghị atụ
    • Njikọ dị iche iche
    • T-ule na ihe ndị na-abụghị ihe atụ
    • Nnwale nke chi
    • Nnwale nhazi
    • Nyocha ike
  11. Otu site na nyocha
    • Gbanyụọ na-ejikọta atụmatụ
  12. Ndị na-ese ihe
    • Ntọala ihe eji eme ihe na R
    • Nkọwapụta, histograms, barcharts, igbe na aji, dotplots
    • Ntughari, akụkọ akụkọ, Aha, Axes
    • Na-ebupụ ndị na-ese foto dị iche iche
  13. Onye na-ese ihe dị elu: GGPlot2
    • Ịghọta asụsụ nke ndịna-emeputa
    • Ọrụ nhazi ngwa ngwa
    • Ewube ihe osise site na iberibe
  14. Nchekwa Linear
    • Ụdị ntinye
    • Ntughari uche
    • Ntọala / mmekọrịta na regression
    • Ịlele data ọhụrụ site na ụdị (amụma)

Biko dee anyị na info@itstechschool.com & kpọtụrụ anyị na + 91-9870480053 maka ụgwọ ọnụahịa & asambodo ụgwọ, oge & ọnọdụ

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