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Sommige cookies plaatsen wij altijd voor een goede werking van de website, deze te verbeteren en analyseren.Door verder gebruik te maken van onze website ga je akkoord met de plaatsing van alle cookies.# add admin rights to the user "newuser" sudo adduser newuser admin # alternative "newuser" can be added to the sudo group sudo adduser newuser sudo # afterwards to may want to lock # the root user # careful!# Create practice data with two columns called V1 and V2 data - ame(matrix(0, ncol 2, nrow 5) dataV1 - c(1, 0, 0, 1, 1) dataV2 - c(0, 0, 1, 0, 0) Lets recode the number 1 in the practice data frame to 777.#047A - selling price M35 DD Waffen SS Battle Worn This is an original M35 shell.# Bind the rows of the two data frames # and change type column to factor letters_data - rbind(sources, destinations) mutate(type as_factor(type) Lets look at the result.# Pointsize vector for legend pointsize - c(1, 50, 100) par(mar c(1, 1, 3, 1) # Plot points plot(points_spdf, pch 20, col points_spdftype, cex cadeau artsenbul sqrt(points_spdfn.25) # Plot coastlines background map plot(coast_sp, col "black youtube schminktipps make up tips add true) # Add a box around the plot box.
# Create data frame of only longitude and latitude values coords - select(geo_data, lon, lat) # Create SpatialPoints object with coords and CRS points_sp - SpatialPoints(coords coords, proj4string CRS projlonglat datumWGS84 Printing out our newly created SpatialPoints object does not make for particularly exciting reading.
#068E - selling price Christmas Special M40 SD Waffen SS ET64 An original M40 single decal Waffen.# parameter -H defines that the input is an XML file hunspell -d en_US -H -l input.# 11 Suriname multipolygon (-5413010.99.#016M - selling price - sold M18 Ear Cut-Out Camo This one is all reproduction.# an SQL query, originally on one line sqlQuery(channel, "select state, murder from USArrests where rape 30 order by murder state murder 1 Colorado.9 2 Arizona.1 3 California.0 4 Alaska.0 5 New Mexico.4 6 Michigan.1 7 Nevada.2.# Print letters_data letters_data # # A tibble: 14 x 3 # place n type # chr int fctr # 1 Amsterdam 1 source # 2 Antwerp 76 source # 3 Dordrecht 1 source # 4 Emden 1 source # 5 Haarlem 30 source #.# first evaluation in S S cube(2) Error in sq Object "n" not found Dumped S n - 3 S cube(2) 1 18 # then the same function evaluated in R R cube(2) 1 8 Lexical scope can also be used to give functions mutable.# Subset of locations with "n" greater than 10 filter(points_sf, n 10) # Simple feature collection with 3 features and 3 fields # geometry type: point # dimension: XY # bbox: xmin:.357068 ymin:.21945 xmax:.646219 ymax:.38739 # epsg (srid 4326 # proj4string.