%get
and %put
¶n=5
%get n
rn <- rnorm(n)
%get rn --from R
rn
[-0.717208726490722, -0.716307792602076, 0.210121660734453, -1.50107629089392, 0.105600079729086]
rn = [x+1 for x in rn]
%put rn --to R
rn
%with
¶n=5
%with R -i n -o rn
rn <- rnorm(n)
rn
[-0.200078426229837, -0.425017555400589, 0.749107473681659, -0.333266605572932, 1.09653643921428]
sos
-named Variables¶sos_n = 5
sos_rn <- rnorm(sos_n)
sos_rn
[-0.493718017873675, 0.00641199595342825, 3.18527800389836, -0.53589119458946, 1.3786041453922]
a = 3
b = c(3, 2, 1)
%get a b --from R
a
3
b
[3, 2, 1]
%get mtcars --from R
mtcars
Loading required package: feather
mpg | cyl | disp | hp | drat | wt | qsec | vs | am | gear | carb | |
---|---|---|---|---|---|---|---|---|---|---|---|
Mazda RX4 | 21.0 | 6.0 | 160.0 | 110.0 | 3.90 | 2.620 | 16.46 | 0.0 | 1.0 | 4.0 | 4.0 |
Mazda RX4 Wag | 21.0 | 6.0 | 160.0 | 110.0 | 3.90 | 2.875 | 17.02 | 0.0 | 1.0 | 4.0 | 4.0 |
Datsun 710 | 22.8 | 4.0 | 108.0 | 93.0 | 3.85 | 2.320 | 18.61 | 1.0 | 1.0 | 4.0 | 1.0 |
Hornet 4 Drive | 21.4 | 6.0 | 258.0 | 110.0 | 3.08 | 3.215 | 19.44 | 1.0 | 0.0 | 3.0 | 1.0 |
Hornet Sportabout | 18.7 | 8.0 | 360.0 | 175.0 | 3.15 | 3.440 | 17.02 | 0.0 | 0.0 | 3.0 | 2.0 |
Valiant | 18.1 | 6.0 | 225.0 | 105.0 | 2.76 | 3.460 | 20.22 | 1.0 | 0.0 | 3.0 | 1.0 |
Duster 360 | 14.3 | 8.0 | 360.0 | 245.0 | 3.21 | 3.570 | 15.84 | 0.0 | 0.0 | 3.0 | 4.0 |
Merc 240D | 24.4 | 4.0 | 146.7 | 62.0 | 3.69 | 3.190 | 20.00 | 1.0 | 0.0 | 4.0 | 2.0 |
Merc 230 | 22.8 | 4.0 | 140.8 | 95.0 | 3.92 | 3.150 | 22.90 | 1.0 | 0.0 | 4.0 | 2.0 |
Merc 280 | 19.2 | 6.0 | 167.6 | 123.0 | 3.92 | 3.440 | 18.30 | 1.0 | 0.0 | 4.0 | 4.0 |
Merc 280C | 17.8 | 6.0 | 167.6 | 123.0 | 3.92 | 3.440 | 18.90 | 1.0 | 0.0 | 4.0 | 4.0 |
Merc 450SE | 16.4 | 8.0 | 275.8 | 180.0 | 3.07 | 4.070 | 17.40 | 0.0 | 0.0 | 3.0 | 3.0 |
Merc 450SL | 17.3 | 8.0 | 275.8 | 180.0 | 3.07 | 3.730 | 17.60 | 0.0 | 0.0 | 3.0 | 3.0 |
Merc 450SLC | 15.2 | 8.0 | 275.8 | 180.0 | 3.07 | 3.780 | 18.00 | 0.0 | 0.0 | 3.0 | 3.0 |
Cadillac Fleetwood | 10.4 | 8.0 | 472.0 | 205.0 | 2.93 | 5.250 | 17.98 | 0.0 | 0.0 | 3.0 | 4.0 |
Lincoln Continental | 10.4 | 8.0 | 460.0 | 215.0 | 3.00 | 5.424 | 17.82 | 0.0 | 0.0 | 3.0 | 4.0 |
Chrysler Imperial | 14.7 | 8.0 | 440.0 | 230.0 | 3.23 | 5.345 | 17.42 | 0.0 | 0.0 | 3.0 | 4.0 |
Fiat 128 | 32.4 | 4.0 | 78.7 | 66.0 | 4.08 | 2.200 | 19.47 | 1.0 | 1.0 | 4.0 | 1.0 |
Honda Civic | 30.4 | 4.0 | 75.7 | 52.0 | 4.93 | 1.615 | 18.52 | 1.0 | 1.0 | 4.0 | 2.0 |
Toyota Corolla | 33.9 | 4.0 | 71.1 | 65.0 | 4.22 | 1.835 | 19.90 | 1.0 | 1.0 | 4.0 | 1.0 |
Toyota Corona | 21.5 | 4.0 | 120.1 | 97.0 | 3.70 | 2.465 | 20.01 | 1.0 | 0.0 | 3.0 | 1.0 |
Dodge Challenger | 15.5 | 8.0 | 318.0 | 150.0 | 2.76 | 3.520 | 16.87 | 0.0 | 0.0 | 3.0 | 2.0 |
AMC Javelin | 15.2 | 8.0 | 304.0 | 150.0 | 3.15 | 3.435 | 17.30 | 0.0 | 0.0 | 3.0 | 2.0 |
Camaro Z28 | 13.3 | 8.0 | 350.0 | 245.0 | 3.73 | 3.840 | 15.41 | 0.0 | 0.0 | 3.0 | 4.0 |
Pontiac Firebird | 19.2 | 8.0 | 400.0 | 175.0 | 3.08 | 3.845 | 17.05 | 0.0 | 0.0 | 3.0 | 2.0 |
Fiat X1-9 | 27.3 | 4.0 | 79.0 | 66.0 | 4.08 | 1.935 | 18.90 | 1.0 | 1.0 | 4.0 | 1.0 |
Porsche 914-2 | 26.0 | 4.0 | 120.3 | 91.0 | 4.43 | 2.140 | 16.70 | 0.0 | 1.0 | 5.0 | 2.0 |
Lotus Europa | 30.4 | 4.0 | 95.1 | 113.0 | 3.77 | 1.513 | 16.90 | 1.0 | 1.0 | 5.0 | 2.0 |
Ford Pantera L | 15.8 | 8.0 | 351.0 | 264.0 | 4.22 | 3.170 | 14.50 | 0.0 | 1.0 | 5.0 | 4.0 |
Ferrari Dino | 19.7 | 6.0 | 145.0 | 175.0 | 3.62 | 2.770 | 15.50 | 0.0 | 1.0 | 5.0 | 6.0 |
Maserati Bora | 15.0 | 8.0 | 301.0 | 335.0 | 3.54 | 3.570 | 14.60 | 0.0 | 1.0 | 5.0 | 8.0 |
Volvo 142E | 21.4 | 4.0 | 121.0 | 109.0 | 4.11 | 2.780 | 18.60 | 1.0 | 1.0 | 4.0 | 2.0 |
%sessioninfo
SoS
SoS Version | 0.9.16.8 |
---|
R
Kernel | ir |
---|---|
Language | R |
R version 3.5.0 (2018-04-23) Platform: x86_64-apple-darwin13.4.0 (64-bit) Running under: macOS Sierra 10.12.5 Matrix products: default BLAS/LAPACK: /Users/bpeng1/anaconda3/envs/JupyterCon18/lib/libopenblasp-r0.2.20.dylib locale: [1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8 attached base packages: [1] stats graphics grDevices utils datasets methods base other attached packages: [1] feather_0.3.1 loaded via a namespace (and not attached): [1] Rcpp_0.12.18 digest_0.6.15 crayon_1.3.4 IRdisplay_0.5.0 [5] repr_0.15.0 jsonlite_1.5 magrittr_1.5 evaluate_0.11 [9] pillar_1.3.0 rlang_0.2.2 stringi_1.2.4 uuid_0.1-2 [13] IRkernel_0.8.11 tools_3.5.0 stringr_1.3.1 hms_0.4.2 [17] compiler_3.5.0 pkgconfig_2.0.2 base64enc_0.1-3 htmltools_0.3.6 [21] pbdZMQ_0.3-3 tibble_1.4.2 |