# ERROR: DimensionMismatch

**URL:** <https://discourse.pumas.ai/t/error-dimensionmismatch/445>\
**Category:** Uncategorized\
**Created:** [December 3, 2020, 5:21am UTC](https://discourse.pumas.ai/t/error-dimensionmismatch/445 "2020-12-03T05:21:42Z")\
**Posts on this page:** 3\
**Page:** 1

<div class="post-metadata">

**Author:** ![sai\_matcha](https://yyz2.discourse-cdn.com/flex030/user_avatar/discourse.pumas.ai/sai_matcha/32/297_2.png) [@sai\_matcha](https://discourse.pumas.ai/u/sai_matcha)\
**Post date:** [December 3, 2020, 5:21am UTC](https://discourse.pumas.ai/t/error-dimensionmismatch/445/1 "2020-12-03T05:21:43Z")

</div>

Hi  
I have used the below code

```auto
phen2 = CSV.read("D:\\PUMASdatasets\\basemodel1.csv",missingstring = "NA")
a2 = names(phen2)
pumdf2 = read_pumas(phen2, observations = [:DV], id = :ID, time = :TIME, amt = :AMT, rate = :RATE, cmt = :CMT,
                    covariates = [:WT])

```

when i check the result, i got below error

```auto
julia> DataFrame(pumdf2)
ERROR: DimensionMismatch("array could not be broadcast to match destination")
Stacktrace:
 [1] check_broadcast_shape at .\broadcast.jl:520 [inlined]
 [2] check_broadcast_axes at .\broadcast.jl:523 [inlined]
 [3] instantiate at .\broadcast.jl:269 [inlined]
 [4] materialize! at .\broadcast.jl:848 [inlined]
 [5] materialize!(::DataFrames.LazyNewColDataFrame{Symbol}, ::Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{Array{Float64,1}}}) at .\broadcast.jl:845
 [6] _add_covariates(::DataFrame, ::Subject{NamedTuple{(:DV,),Tuple{Array{Union{Missing, Float64},1}}},Pumas.ConstantInterpolationStructArray{Array{Float64,1},StructArrays.StructArray{NamedTuple{(:WT,),Tuple{Float64}},1,NamedTuple{(:WT,),Tuple{Array{Float64,1}}},Int64},Symbol},Array{Pumas.Event{Float64,Float64,Float64,Float64,Float64,Float64,Nothing,Int64},1},Array{Float64,1}}) at C:\Users\julia\.julia\packages\Pumas\iIBBr\src\data_parsing\io.jl:753
 [7] DataFrame(::Subject{NamedTuple{(:DV,),Tuple{Array{Union{Missing, Float64},1}}},Pumas.ConstantInterpolationStructArray{Array{Float64,1},StructArrays.StructArray{NamedTuple{(:WT,),Tuple{Float64}},1,NamedTuple{(:WT,),Tuple{Array{Float64,1}}},Int64},Symbol},Array{Pumas.Event{Float64,Float64,Float64,Float64,Float64,Float64,Nothing,Int64},1},Array{Float64,1}}; include_covariates::Bool, include_observations::Bool, include_events::Bool) at C:\Users\julia\.julia\packages\Pumas\iIBBr\src\data_parsing\io.jl:727
 [8] (::Pumas.var"#55#56"{Bool,Bool,Bool})(::Subject{NamedTuple{(:DV,),Tuple{Array{Union{Missing, Float64},1}}},Pumas.ConstantInterpolationStructArray{Array{Float64,1},StructArrays.StructArray{NamedTuple{(:WT,),Tuple{Float64}},1,NamedTuple{(:WT,),Tuple{Array{Float64,1}}},Int64},Symbol},Array{Pumas.Event{Float64,Float64,Float64,Float64,Float64,Float64,Nothing,Int64},1},Array{Float64,1}}) at .\none:0
 [9] iterate(::Base.Generator{Array{Subject{NamedTuple{(:DV,),Tuple{Array{Union{Missing, Float64},1}}},T2,Array{Pumas.Event{Float64,Float64,Float64,Float64,Float64,Float64,Nothing,Int64},1},Array{Float64,1}} where T2,1},Pumas.var"#55#56"{Bool,Bool,Bool}}, ::Int64) at .\generator.jl:47
 [10] #DataFrame#54 at C:\Users\julia\.julia\packages\Pumas\iIBBr\src\data_parsing\io.jl:822 [inlined]
 [11] DataFrame(::Array{Subject{NamedTuple{(:DV,),Tuple{Array{Union{Missing, Float64},1}}},T2,Array{Pumas.Event{Float64,Float64,Float64,Float64,Float64,Float64,Nothing,Int64},1},Array{Float64,1}} where T2,1}) at C:\Users\julia\.julia\packages\Pumas\iIBBr\src\data_parsing\io.jl:822
 [12] top-level scope at none:1

```

It is working properly when i change the covariate.  
(Both the covariates have same length)

```auto
pumdf2 = read_pumas(phen2, observations = [:DV], id = :ID, time = :TIME, amt = :AMT, rate = :RATE, cmt = :CMT,
                    covariates = [:INITWT])

```

```auto
julia> DataFrame(pumdf2)
3485×16 DataFrame
│ Row │ id │ time │ evid │ DV │ amt │ dose │ tad │ cmt │ rate │ duration │ ss │ ii │ base_time │ rate_dir │ route │ INITWT │
│ │ String │ Float64 │ Int64 │ Float64? │ Float64? │ Float64 │ Float64 │ Int64? │ Float64? │ Float64? │ Int64 │ Float64? │ Float64? │ Int8? │ Nothing │ Float64 │
├──────┼────────┼─────────┼───────┼──────────┼──────────┼─────────┼─────────┼────────┼──────────┼───────────┼───────┼──────────┼───────────┼──────────┼─────────┼─────────┤
│ 1 │ 1 │ 0.0 │ 1 │ missing │ 475.0 │ 475.0 │ 0.0 │ 2 │ 2910.88 │ 0.163181 │ 0 │ 0.0 │ 0.0 │ 1 │ │ 24.257 │
│ 2 │ 1 │ 10.25 │ 1 │ missing │ 60.0 │ 60.0 │ 0.0 │ 1 │ 0.0 │ 0.0 │ 0 │ 0.0 │ 10.25 │ 1 │ │ 24.257 │
│ 3 │ 1 │ 21.28 │ 1 │ missing │ 60.0 │ 60.0 │ 0.0 │ 1 │ 0.0 │ 0.0 │ 0 │ 0.0 │ 21.28 │ 1 │ │ 24.257 │
│ 4 │ 1 │ 34.0 │ 1 │ missing │ 60.0 │ 60.0 │ 0.0 │ 1 │ 0.0 │ 0.0 │ 0 │ 0.0 │ 34.0 │ 1 │ │ 24.257 │
⋮
│ 3481 │ 178 │ 94.82 │ 1 │ missing │ 4.0 │ 4.0 │ 0.0 │ 2 │ 292.87 │ 0.0136579 │ 0 │ 0.0 │ 94.82 │ 1 │ │ 2.55 │
│ 3482 │ 178 │ 102.9 │ 0 │ 1.4 │ missing │ 4.0 │ 8.08 │ 2 │ missing │ missing │ 0 │ missing │ missing │ missing │ │ 2.55 │
│ 3483 │ 178 │ 102.98 │ 1 │ missing │ 4.0 │ 4.0 │ 0.0 │ 2 │ 341.4 │ 0.0117165 │ 0 │ 0.0 │ 102.98 │ 1 │ │ 2.55 │
│ 3484 │ 178 │ 110.68 │ 1 │ missing │ 4.0 │ 4.0 │ 0.0 │ 2 │ 341.4 │ 0.0117165 │ 0 │ 0.0 │ 110.68 │ 1 │ │ 2.55 │
│ 3485 │ 178 │ 120.15 │ 1 │ missing │ 4.0 │ 4.0 │ 9.47 │ 2 │ 341.4 │ 0.0117165 │ 0 │ 0.0 │ 120.15 │ 1 │ │ 2.55 │

```

Can someone help me to figure out this?

Thank you

---

<div class="post-metadata">

**Author:** ![sai\_matcha](https://yyz2.discourse-cdn.com/flex030/user_avatar/discourse.pumas.ai/sai_matcha/32/297_2.png) [@sai\_matcha](https://discourse.pumas.ai/u/sai_matcha)\
**Post date:** [December 3, 2020, 6:10am UTC](https://discourse.pumas.ai/t/error-dimensionmismatch/445/2 "2020-12-03T06:10:26Z")

</div>

I have noticed one more thing. DataFrame of read\_pumas file gives dimention error if covariate is changing with time. And it gives proper dataframe if covariate is time constant.

I am changing my question now 😅.

How can i handle time varying covariates in pumas?

Thank you.

---

<div class="post-metadata">

**Author:** ![andreasnoack](https://yyz2.discourse-cdn.com/flex030/user_avatar/discourse.pumas.ai/andreasnoack/32/22_2.png) [@andreasnoack](https://discourse.pumas.ai/u/andreasnoack)\
**Post date:** [December 3, 2020, 4:02pm UTC](https://discourse.pumas.ai/t/error-dimensionmismatch/445/3 "2020-12-03T16:02:35Z")

</div>

Pumas is generally able to handle time-varying covariates. However, there is a bug in our `DataFrame` constructor when the time-varying covariates are observed at the same time both as an observation row (`evid==0`) and a dose row (`evid > 0`). It should be fixed in the next release of Pumas. Meanwhile, it might be sufficient if you change one of the values to `missing`.