$30 off During Our Annual Pro Sale. View Details »
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
Rcpp for everyone
Search
teuder
March 31, 2017
Technology
1
1k
Rcpp for everyone
Brief introduction of learning resources for Rcpp.
teuder
March 31, 2017
Tweet
Share
More Decks by teuder
See All by teuder
あまぁいRcpp生活
teuder
1
460
Other Decks in Technology
See All in Technology
WordPress は終わったのか ~今のWordPress の制作手法ってなにがあんねん?~ / Is WordPress Over? How We Build with WordPress Today
tbshiki
1
740
.NET 10の概要
tomokusaba
0
100
意外とあった SQL Server 関連アップデート + Database Savings Plans
stknohg
PRO
0
310
20251209_WAKECareer_生成AIを活用した設計・開発プロセス
syobochim
7
1.5k
モダンデータスタック (MDS) の話とデータ分析が起こすビジネス変革
sutotakeshi
0
480
Karate+Database RiderによるAPI自動テスト導入工数をCline+GitLab MCPを使って2割削減を目指す! / 20251206 Kazuki Takahashi
shift_evolve
PRO
1
740
Challenging Hardware Contests with Zephyr and Lessons Learned
iotengineer22
0
190
技術以外の世界に『越境』しエンジニアとして進化を遂げる 〜Kotlinへの愛とDevHRとしての挑戦を添えて〜
subroh0508
1
440
Ruby で作る大規模イベントネットワーク構築・運用支援システム TTDB
taketo1113
1
280
SSO方式とJumpアカウント方式の比較と設計方針
yuobayashi
7
620
【AWS re:Invent 2025速報】AIビルダー向けアップデートをまとめて解説!
minorun365
4
520
多様なデジタルアイデンティティを攻撃からどうやって守るのか / 20251212
ayokura
0
440
Featured
See All Featured
How to Ace a Technical Interview
jacobian
280
24k
Visualization
eitanlees
150
16k
Rails Girls Zürich Keynote
gr2m
95
14k
RailsConf 2023
tenderlove
30
1.3k
Producing Creativity
orderedlist
PRO
348
40k
Faster Mobile Websites
deanohume
310
31k
YesSQL, Process and Tooling at Scale
rocio
174
15k
Building Flexible Design Systems
yeseniaperezcruz
330
39k
Building a Modern Day E-commerce SEO Strategy
aleyda
45
8.3k
[Rails World 2023 - Day 1 Closing Keynote] - The Magic of Rails
eileencodes
37
2.6k
Java REST API Framework Comparison - PWX 2021
mraible
34
9k
Helping Users Find Their Own Way: Creating Modern Search Experiences
danielanewman
31
3k
Transcript
3DQQGPSFWFSZPOF ବ@teuder
"CPVUNF ాਅथ .BTBLJ&5TVEB 1I% -JGFTDJFODFT #VTJOFTT$POTVMUBOU XJUI %BUB4DJFODF
3DQQ 3DQQJTBQBDLBHFUIBUFOBCMFTZPV UPJNQMFNFOU3GVODUJPOTJO$ #ZVTJOH3DQQ ZPVDBOXSJUF$ DPEFJOBTUZMFTJNJMBSUP3
None
%JSL&EEFMCVFUUFM
5PEBZ *EPOPUUBMLBCPVUIPXUPVTF3DQQ CVUJOUSPEVDFZPVTPNFVTFGVMSFTPVSDFT XIFOZPVXBOUUPMFBSO3DQQ
5IFNBKPSSFTPVSDFTGPS MFBSOJOH3DQQ "EWBODFE3 3DQQ(BMMFSZ 3DQQ/PUF 7JHOFUUFT
"EWBODFE3 (SFBUJOUSPEVDUJPOUP3DQQ #VUJUMBDLTTPNFEFUBJMT )PXDBO*NPWFUPUIFOFYUTUFQ
3DQQ(BMMFSZ (SFBUDPNQJMBUJPOPGHPPEFYBNQMFT #VUUIFJOGPSNBUJPOJTGSBHNFOUFE )PXDBO*HFUUJEZLOPXMFEHFBCPVU3DQQ
3DQQ/PUF (SFBU$ TUZMFSFGFSFODFEPDVNFOU #VUJUPOMZQSPWJEFMJNJUFEJOGPSNBUJPO )PXDBO*HFUNPSFQSBDUJDBM BOENPSFTZTUFNBUJDBMLOPXMFEHF
*OUIFTFEBZT *DPVMEOPUpOEBEPDVNFOUMJLFUIBU*XBOU #VUPOFEBZ *SFNFNCFSFEBQISBTF *`WFTFFOPOUIFJOUFSOFU
If there does not exist what you want, just create
it. That should have been the oath of HOXO-M ! ͳ͚Ε࡞Δɻ ͦΕ͕ϗΫιΤϜͷ͍ͩͬͨͣʂ
IUUQTXXXHJUCPPLDPNCPPLUFVEFSJOUSPEVDUJPOUPSDQQEFUBJMT *XSPUFB3DQQ8FC#PPL
&OHMJTIWFSTJPOJTBMTPBWBJMBCMF IUUQTXXXHJUCPPLDPNCPPLUFVEFSJOUSPEVDUJPOUPSDQQEFUBJMT
$POUFOUTPGUIFCPPL 7FDUPS .BUSJY -JTU %BUB'SBNF 4 3MJLFGVODUJPOT 1SPCBCJMJUZEJTUSJCVUJPOT 6TJOH3GVODUJPOTGSPN3DQQ "UUSJCVUFT
/"/BO*OG &OWJSPONFOU &SSPSIBOEMJOH BOENPSFʜ
4JODFUIF&OHMJTIWFSTJPO XBTSFMFBTFE 1BHFWJFXTEPVCMFEBOEJTTUJMMHSPXJOH 3FMFBTFPG&OHWFS /PW 5JNFTFSJFTPGQBHFWJFXTJOUIFMBTUNPOUIT
1BHFWJFXTCZDPVOUSJFT (FSNBOZJTUIFSEQMBDF #VUMBSHFMZCFIJOEGSPN64BOE+BQBO 1BHFWJFXTJOUIFMBTUNPOUIT
8IBUXPVMECF UIFHPPETJUVBUJPOUPVTF3DQQ w -PPQTJOXIJDIMBUFSJUFSBUJPOEFQFOETPOUIF QSFWJPVTJUFSBUJPO w 3FDVSSFOUDBMMTPGGVODUJPOJOMPPQ w "DDFTTJOHFBDIFMFNFOUTPGWFDUPSEBUBGSBNF w
$IBOHJOHTJ[FPGBWFDUPSBUSVOUJNF w 0QFSBUJPOUIBUOFFEBEWBODFEEBUBTUSVDUVSF BOEBMHPSJUIN
#FDBVTF3DQQSFRVJSFTZPVBOFYUSBDPTU :PVNJHIUCFBCMFUPNBYJNJ[FZPVSRVBMJUZPGMJGF XIFOZPVVTFJUUPCSFBLCPUUMFOFDLPGZPVSDPEF 8IBUXPVMECF UIFHPPETJUVBUJPOUPVTF3DQQ
*ONZDBTF $POWFSUJOHEBUBGSBNFUPTQBSTFNBUSJY df %>% as.matrix %>% Matrix::Matrix(sparse = TRUE) #VUDPOWFSUJOHNBUSJYGBJMTXIFOUIFEBUBJT
SFMBUJWFMZMBSHF BCPVUTFWFSBMUFOTPG(# df %>% asSparseMatrix 4P*DSFBUFB3DQQGVODUJPODPOWFSUJOHUIFEBUB EJSFDUMZUPTQBSTFNBUSJY
#include <Rcpp.h> using namespace Rcpp; %FpOJOHBGVODUJPO // [[Rcpp::export]] S4 asSparseMatrix(
DataFrame df ){ // prerequisite : // all the elements DataFrame is numeric/integer // and not containing NAs. // number of rows and columns int nrow = df.nrows(); int ncol = df.length();
6TJOHTUEWFDUPSJOTUFBEPG3DQQ7FDUPS #FDBVTFDIBOHJOHTJ[FPGWFDUPSBUSVOUJNF JTOPUFGpDJFOUJO3DQQ7FDUPS std::vector<R_xlen_t> rows; std::vector<R_xlen_t> cols; std::vector<double> vals;
4UPSJOHUIFQPTJUJPOTBOEWBMVFTPG OPO[FSPFMFNFOUTJOUIF%BUB'SBNF for(R_xlen_t col=0; col<ncol; ++col){ NumericVector column = df[col]; for(R_xlen_t row=0; row<nrow; ++row){ if(column[row]!=0.0){ rows.push_back(row+1); cols.push_back(col+1); vals.push_back(column[row]); } } }
$BMMJOH.BUSJYTQBSTF.BUSJY Environment env = Environment::namespace_env("Matrix"); Function sparseMatrix = env["sparseMatrix"];
$POWFSUJOHTUEWFDUPSUP/VNFSJD7FDUPS S4 sm = sparseMatrix( Named("i") = wrap(rows), Named("j") = wrap(cols), Named("x") = wrap(vals), Named("dims") = NumericVector::create(nrow,ncol)); 4FUUJOHSPXOBNFTBOEDPMOBNFT List dimnames = List::create(R_NilValue, df.names()); sm.attr("Dimnames") = dimnames; 3FUVSOJOHUIFTQBSTFNBUSJY return sm; }
$PODMVTJPO w :PVDBOJNQMFNFOU3GVODUJPOJO$ XJUI3DQQ w 5IFSFBSFTV⒏DJFOUSFTPVSDFTGPSMFBSOJOH3DQQ w 3DQQJTTVJUBCMFUPCSFBLCPUUMFOFDLTPGZPVSDPEF *IPQFNZl*OUSPEVDUJPOUP3DQQz XPVMEBJECSPBESBOHFPGQFPQMF
&OKPZ
"EWFSUJTJOH 605 1 2 3 4 5 6 7 8
9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 24 ষɹɹRcpp Rcpp RcppRͷؔΛC++Ͱ࣮Ͱ͖ΔύοέʔδͰ͢ɻRͱྨࣅͨ͠ελΠϧͰهड़Ͱ͖ ΔΑ͏ʹ࣮͞Ε͍ͯΔͨΊɺC++ʹਂ͍͕ࣝͳͯ͘ར༻͘͢͠ͳ͍ͬͯ·͢ɻ͠ ͔ɺͦͷͨΊͷ࣮ߦ٘ਜ਼ʹ͞Ε͍ͯͳ͍ͷͰɺ୭ͰϋΠύϑΥʔϚϯεͳ݁ՌΛ ಘΔ͜ͱ͕Ͱ͖·͢ɻ 24-1 Rcppͷ׆༻γʔϯ ࣍ͷΑ͏ͳέʔεC++Ͱ࣮͢Δ͜ͱʹΑΓɺRͱൺͯߴԽ͕ݟࠐΊ·͢ɻ ɾ ܁Γฦ͠ॲཧɺಛʹ࣍ͷॲཧ͕લͷॲཧʹґଘ͓ͯ͠ΓฒྻԽͰ͖ͳ͍ ɾ ϕΫ τϧߦྻͷݸʑͷཁૉΞΫηε͢Δඞཁ͕͋Δ ɾ ϕΫ τϧͷαΠζΛಈతʹมߋ͍ͨ͠ ɾ ߴͳσʔλߏΞϧΰϦζϜΛ༻͍ͨॲཧΛߦ͍͍ͨ RcppͷύϑΥʔϚϯεΛࣔͨ͢Ίɺ܁Γฦ͠ॲཧͷྫͱͯ͠MCMCΞϧΰϦζϜͷҰछͰ͋ ΔΪϒεαϯϓϥʔ ʢ1ʣ ͷ࣮ྫΛࣔ͠·͢ɻ͜ͷྫͰɺΪϒεαϯϓϥʔʹΑΓඪ४2ม ਖ਼ن͔ΒnαϯϓϦϯά͍ͯ͠·͢ɻ ·ͣൺֱͷͨΊRΛ༻͍࣮ͨྫΛࣔ͠·͢ ʢϦετ24.1ʣ ɻ Ϧε τ24.1ɹGibbs.R GibbsR <- function(b, n, t){ # 2มඪ४ਖ਼ن͔ΒnαϯϓϦ ϯά # b : 2มͷڞࢄ # n : αϯϓϧ # t : αϯϓϦ ϯάࣺͤͣͯΔִؒ X <- matrix(0, nrow = n, ncol = 2) x1 <- x2 <- 0 sd <- sqrt(1-b^2) for(i in 1:n){ for(j in 1:t){ x1 <- rnorm(1, b*x2, sd) x2 <- rnorm(1, b*x1, sd) ʢ1ʣ ߴ࣍ݩͷෳࡶͳ֬ʹै͏ཚΛੜ͢ΔϚϧίϑ࿈ϞϯςΧϧϩ๏ͱݺΕΔΞϧΰϦζϜͷҰछͰ͢ɻ 24-1 24 ষ ٕज़ධࣾɹ੫ࠐԁ